We will be using the new energy layer to analyze a variety of PV module futures.
We will use a literture-sourced global scale deployment schedule through 2050, then assume that capacity increases at a lower constant rate through 2100.
Module specific module and material input files are stored in the baselines\Energy_CellModuleTechCompare folder.
import numpy as np
import pandas as pd
import os,sys
from pathlib import Path
import matplotlib.pyplot as plt
import PV_ICE
cwd = os.getcwd() #grabs current working directory
testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'EnergyAnalysis')
inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP')
baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')
supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')
altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare')
if not os.path.exists(testfolder):
os.makedirs(testfolder)
from platform import python_version
print(python_version())
3.11.5
#print("Working on a ", platform.system(), platform.release())
print("Python version ", sys.version)
print("Pandas version ", pd.__version__)
print("pyplot ", plt.matplotlib.__version__)
print("PV_ICe version ", PV_ICE.__version__)
Python version 3.11.5 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:26:23) [MSC v.1916 64 bit (AMD64)] Pandas version 2.0.3 pyplot 3.7.2 PV_ICe version
Graphing settings
#https://www.learnui.design/tools/data-color-picker.html#palette
#color pallette - modify here for all graphs below
colorpalette=['#000000', #PV ICE baseline
'#595959', '#7F7F7F', '#A6A6A6', '#D9D9D9', #BAU, 4 grays, perc, shj, topcon, irena
#'#067872','#0aa39e','#09d0cd','#00ffff', #realistic cases (4) teals, perc, shj, topcon, irena
'#0579C1','#C00000','#FFC000', #extreme cases (3) long life, high eff, circular
'#6E30A0','#00B3B5','#10C483', #ambitious modules (5) high eff+ long life, 50 yr perc, recycleSi,
'#97CB3F','#FF7E00' #circular perovskite+life, circular perovkiste+ high eff
]
colormats = ['#00bfbf','#ff7f0e','#1f77be','#2ca02c','#d62728','#9467BD','#8C564B'] #colors for material plots
import matplotlib as mpl #import matplotlib
from cycler import cycler #import cycler
mpl.rcParams['axes.prop_cycle'] = cycler(color=colorpalette) #reset the default color palette of mpl
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
plt.rcParams.update({'font.size': 14})
plt.rcParams['figure.figsize'] = (8, 6)
scennames_labels = ['PV_ICE','PERC','SHJ','TOPCon','Low\nQuality',
'Long-Lived','High Eff','Circular',
'High Eff\n+ Long-life','Long-Life\n+ Recycling',
'Recycled-Si\n+ Long-life','Circular\n+ Long-life',
'Circular\n+ High Eff'
]
scennames_labels_flat = ['PV_ICE','PERC','SHJ','TOPCon','Low Quality',
'Long-Lived','High Eff','Circular',
'High Eff + Long-life','Long-Life + Recycling',
'Recycled-Si + Long-life','Circular + Long-life',
'Circular + High Eff'
]
#,'Lightweight'
Scenarios and materials
MATERIALS = ['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']
moduleFile_m = os.path.join(baselinesfolder, 'baseline_modules_mass_US.csv')
moduleFile_e = os.path.join(baselinesfolder, 'baseline_modules_energy.csv')
We will be deploying based on power (not area) because each of these have different efficiencies, and those differences should be accounted for in the simulation. Additionally, we will run the installation compensation to simulate the required replacements for each module type.
#load in a baseline and materials for modification
sim1 = PV_ICE.Simulation(name='sim1', path=testfolder)
sim1.createScenario(name='PV_ICE', massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['PV_ICE'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
path = C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\EnergyAnalysis Baseline folder directed to default: C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\baselines
Starting modifications in 2022, using PV ICE baseline as historical for all modules
NOTE: Currently have to modify all scenarios before extending the years to avoid errors.
NOTE: all dynamic values changed with PV ICE modify functions must feed in a Pandas Series
celltech_modeff = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-modeffimprovements.csv'),index_col=0) #pull in module eff
celltech_aguse = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-Agusageimprovements.csv'),index_col=0) #pull in Ag use
celltech_modeff.loc[2030]
PERC 24.5 SHJ 25.3 TOPCon 25.0 Name: 2030, dtype: float64
#glass-glass package mass per area calculation
#ITRPV 2022 Figs 36 and 38, we are assuming that the front and back glass heave equal thickness of 2.5mm
density_glass = 2500*1000 # g/m^3
glassperm2 = (2.5/1000)* 2 * density_glass
print('The mass per module area of glass is '+str(glassperm2)+' g/m^2 for all modules with a glass-glass package')
The mass per module area of glass is 12500.0 g/m^2 for all modules with a glass-glass package
timeshift = 2022-1995
idx_temp = pd.RangeIndex(start=2000,stop=2051,step=1)
Commercialized Modules with Expected Continued Improvement
For all these modules, we assume improving recycling slightly behind the EU WEEE Directive:
#modified module
moduleinput_m_r_PERC = os.path.join(altBaselinesfolder, 'mod_r_PERC.csv')
sim1.createScenario(name='r_PERC', massmodulefile=moduleinput_m_r_PERC, energymodulefile=moduleFile_e)
#module efficiency modify for PERC
sim1.modifyScenario('r_PERC', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_PERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_PERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_PERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_PERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_PERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_PERC'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This is a modern SHJ module with expected silver and module efficiency improvements taken from Zhang et al 2021, Gervais et al 2021, and ITPRV 2022. See PERC vs SHJ vs TOPCon for a more detailed evaluation.
#modified module
moduleinput_m_r_SHJ = os.path.join(altBaselinesfolder, 'mod_r_SHJ.csv')
sim1.createScenario(name='r_SHJ', massmodulefile=moduleinput_m_r_SHJ, energymodulefile=moduleFile_e)
#module efficiency modify for SHJ
sim1.modifyScenario('r_SHJ', 'mod_eff', celltech_modeff.loc[2022:,'SHJ'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#load modified materials
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_SHJ'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_SHJ'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_SHJ'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_SHJ'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_SHJ'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for SHJ
sim1.scenario['r_SHJ'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'SHJ'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_SHJ'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_SHJ'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#modified module
moduleinput_m_r_TOPCon = os.path.join(altBaselinesfolder, 'mod_r_TOPCon.csv')
sim1.createScenario(name='r_TOPCon', massmodulefile=moduleinput_m_r_TOPCon, energymodulefile=moduleFile_e)
#module efficiency modify
sim1.modifyScenario('r_TOPCon', 'mod_eff', celltech_modeff.loc[2022:,'TOPCon'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_TOPCon'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_TOPCon'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_TOPCon'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_TOPCon'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_TOPCon'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_TOPCon'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'TOPCon'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_TOPCon'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_TOPCon'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This scenario uses the IRENA 2016 regular loss scenario results, or a low quality module, and assumes the same EoL recycling improvement as the previous three scenarios. We're assuming this is a mc-Si, therefore, changing the ingot energy to reflect the lower energy intensity.
#modified module
moduleinput_m_r_IRENA = os.path.join(altBaselinesfolder, 'mod_r_IRENAregloss.csv')
sim1.createScenario(name='r_IRENA', massmodulefile=moduleinput_m_r_IRENA, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_IRENA'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_IRENA'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_IRENA'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_IRENA'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_IRENA'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silicon mfging energy to be mc-Si only
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify silicon recycling energy
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
sim1.scenario['r_IRENA'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.38 | 20 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.04 | 19 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 144.33 | 19 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 144.20 | 19 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 144.60 | 19 |
What if you could have 1/3 design aspects perfectly optimized right now, but at the expense of the other two?
#names for extreme set of scenarios
scennames_ex = ['ex_Life', 'ex_High_eff', 'ex_Circular'] #extreme boundaries
for scen in scennames_ex: #creates extreme scenarios
sim1.createScenario(name=scen, massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario[scen].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
This module represents current PERC technology if it were to have it's lifetime extended significantly. Glass-glass technology is assumed, expected decreases in silver usage and increases in module efficiency are derived from Zhang et al 2021, Gervais et al 2021 and ITRPV 2022. Merchant tail is set to 100%, while material circularity is set to 0 after 2022.
#module efficiency modify for PERC
#evolves at the same rate as the baseline comparison
sim1.modifyScenario('ex_Life', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #PERC 2030 module eff
#silver modify for PERC
sim1.scenario['ex_Life'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#old way
#sim1.scenario['PERC_50'].material['silver'].matdataIn_m.loc[timeshift:,'mat_massperm2'] = celltech_aguse.loc[2022:,'PERC'].values
#modify package to glass glass
sim1.scenario['ex_Life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022) #
sim1.scenario['ex_Life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#degradation rate from Theristis et al 2022
#failure is T10 at 50 years
#degradation rate:
sim1.modifyScenario('ex_Life', 'mod_degradation', 0.4, start_year=2022) #annual power degradation to reach 80% at 55 yrs
#T50
sim1.modifyScenario('ex_Life', 'mod_reliability_t50', 56.07, start_year=2022)
#t90
sim1.modifyScenario('ex_Life', 'mod_reliability_t90', 59.15, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_Life', 'mod_lifetime', 50, start_year=2022) #project lifetime of 50 years
#Merchant Tail set high
sim1.modifyScenario('ex_Life', 'mod_MerchantTail', 100, start_year=2022) #all installations stay for merchant tail
#Set to no material circularity after 2022
sim1.modifyScenario('ex_Life', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_Life'].material:
sim1.scenario['ex_Life'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
This represents a current 25 year lifetime module warranty where efficiency has been prioritized. This could represent a silicon based tandem, along the lines of a heterojunction, multijunction or tandem structure. This will also be assumed to be bifacial at 0.92, the highest projection from ITRPV 2023.
sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#Lifetime and Degradation
#degradation rate:
sim1.modifyScenario('ex_High_eff', 'mod_degradation', 0.75, start_year=2022) #standard current degrdation
#T50
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t50', 30.7, start_year=2022)
#t90
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t90', 35, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_High_eff', 'mod_lifetime', 25, start_year=2022) #project lifetime of 25 years
#modify package to glass glass
sim1.scenario['ex_High_eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_High_eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('ex_High_eff', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_High_eff'].material:
sim1.scenario['ex_High_eff'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
There are currently no circular modules, so this extreme case is based on hypothetical perovskite Si tandems modules. This module uses current best perovskite si tandem module and cell efficiencies, has a prospective life of 15 years and 1.47% degradation rate, and is highly circular. This is the extreme module proposed by perovskite tandems [Jean et al. 2019]. This maximizes material circularity, through remanufacturing glass and silicon wafers, and recycling the al frames closed loop.
#2022 module eff = 17.9% #https://www.nrel.gov/pv/assets/pdfs/champion-module-efficiencies-rev220401b.pdf
#2050 module eff = 19.1-26.1% for cheap on mc-Si, 21-27.3% for high eff on SHJ, Sofia et al 2019
idx_perovskite_eff = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_perovskite_eff = pd.DataFrame(index=idx_perovskite_eff, columns=['mod_eff_p'], dtype=float)
df_perovskite_eff.loc[2022] = 17.9 #current champion mini module
df_perovskite_eff.loc[2030] = 19.1 #using the low efficiency, cheap and circular plan
df_perovskite_eff.loc[2050] = 19.1
df_perovskite_eff.interpolate(inplace=True)
#module efficiency modify for PERC
sim1.modifyScenario('ex_Circular', 'mod_eff', df_perovskite_eff.loc[2022:,'mod_eff_p'], start_year=2022)
#modify package to glass glass
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_Circular'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#values taken from lifetime vs recycling paper
#degradation rate:
sim1.modifyScenario('ex_Circular', 'mod_degradation', 1.47, start_year=2022) #annual power degradation
#Mod Project Lifetime
sim1.modifyScenario('ex_Circular', 'mod_lifetime', 15, start_year=2022) #project lifetime of 15 years
#T50
sim1.modifyScenario('ex_Circular', 'mod_reliability_t50', 20.49, start_year=2022)
#t90
sim1.modifyScenario('ex_Circular', 'mod_reliability_t90', 25, start_year=2022)
#remfg glass, remfg si, recycle Al, near perfect levels
#100% collection rate
sim1.modifyScenario('ex_Circular', 'mod_EOL_collection_eff', 100.0, start_year=2022) #100% collection
# remanufacturing
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg3_reMFG', 100.0, start_year=2022) #all modules attempt remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_sp_reMFG_recycle', 100.0, start_year=2022) # recycle if can't remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb3_reMFG', 100.0, start_year=2022) # remfg bad mods too
sim1.modifyScenario('ex_Circular', 'mod_EOL_reMFG_yield', 98.0, start_year=2022) # REMFG YIELD 98%
#set all other paths to 0
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg0_resell', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_Repair', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_MerchantTail', 0.0, start_year=2022) #
#Material Remanufacture
#Glass
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send all to remfg
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #any breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
#silicon ReMFG
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send to remfg
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #remfg breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_ReMFG_yield', 0.0, start_year=2022) #0% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
"What if we could have 2/3 design aspects improved?" These are modules which have a basis in laboratory or field but have not yet been fully/completely demonstrated or commercialized. They are the mix and match of the extreme design aspects. Typically one of the two design aspects is emphasized more heavily.
What if we made long lived tandem modules?
#modified module
moduleinput_m_r_EffLife = os.path.join(altBaselinesfolder, 'mod_r_EffLife.csv')
sim1.createScenario(name='h_EffLife', massmodulefile=moduleinput_m_r_EffLife, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_EffLife'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#module efficiency in the module file from 23.86 to 30% in 2040
#also lifetime and reliabiltiy in mod file, from 25-40 years in 2050
#modify package to glass glass
sim1.scenario['h_EffLife'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_EffLife'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('h_EffLife', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['h_EffLife'].material:
sim1.scenario['h_EffLife'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
What if long lived modules were eventually recycled?
#modified module
moduleinput_m_r_50PERC = os.path.join(altBaselinesfolder, 'mod_r_50PERC.csv')
sim1.createScenario(name='h_50PERC', massmodulefile=moduleinput_m_r_50PERC, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_50PERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify package to glass glass
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_50PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#glass recycling, 25% closed loop recycle in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_glass_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_glass_target.loc[2022] = 0
df_glass_target.loc[2030] = 100
df_glass_target.loc[2050] = 100
df_glass_target.interpolate(inplace=True)
df_glass_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_glass_lowrecycle.loc[2022] = 0
df_glass_lowrecycle.loc[2030] = 0
df_glass_lowrecycle.loc[2050] = 50
df_glass_lowrecycle.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG4_Recycling_target',
df_glass_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_Recycled_into_HQ',
df_glass_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon recycled, 25% closed loop in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_si_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_si_target.loc[2022] = 0
df_si_target.loc[2030] = 0
df_si_target.loc[2050] = 50
df_si_target.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target',
df_si_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle, 25% closed loop in 2050
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_al_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_al_target.loc[2022] = 0
df_al_target.loc[2030] = 100
df_al_target.loc[2050] = 100
df_al_target.interpolate(inplace=True)
df_al_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_al_lowrecycle.loc[2022] = 0
df_al_lowrecycle.loc[2030] = 100
df_al_lowrecycle.loc[2050] = 100
df_al_lowrecycle.interpolate(inplace=True)
df_al_lowCL = pd.DataFrame(index=idx_temp, columns=['mat_EOL_RecycledHQ_Reused4MFG'], dtype=float)
df_al_lowCL.loc[2022] = 0
df_al_lowCL.loc[2030] = 20
df_al_lowCL.loc[2050] = 50
df_al_lowCL.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target',
df_al_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ',
df_al_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',
df_al_lowCL.loc[2022:,'mat_EOL_RecycledHQ_Reused4MFG'], start_year=2022) #closed-loop
This module is based on the recent test from Fraunhofer ISE in which an old module was dissassembled, and the silicon wafer cleaned, put into a Cz ingot growth process and made using standard PERC processing, creating a 19% efficient module. https://www.ise.fraunhofer.de/en/press-media/press-releases/2022/solar-cells-from-recycled-silicon.html We will assume this is a low quality module, like a mc-Si module, thus changing the mfging energy, and that the module efficiency improves slightly slower than mc-Si expectations (22% by 2050, ITRPV 2023).
#modified module
moduleinput_m_r_RecyclePERC = os.path.join(altBaselinesfolder, 'mod_r_PERCrecycleSi.csv')
sim1.createScenario(name='h_RecycledPERC', massmodulefile=moduleinput_m_r_RecyclePERC, energymodulefile=moduleFile_e)
#for mat in range (0, len(MATERIALS)):
# matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
# matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
# sim1.scenario['h_RecycledPERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modified materials for 71% closed loop recycling in 2050
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['h_RecycledPERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#silicon Fraunhofer test recycled
#mfg scrap
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon mfging energy to be mc-Si only for the virgin manufacturing
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#the cool feature of this module was that the wafer was directly put into the Cz process
#therefore, we need to modify the recycling energy to reflect this
#this energy profile is output by the (baseline development) Energy Silicon Manufacturing journal.
altHQRecycle_e = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_eol_recycleHQ_ALT.csv'), index_col=0)
#altHQRecycle_e
#modify silicon recycling energy to match Fraunhofer ISE CZ process
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ',
altHQRecycle_e.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ_fuelfraction',
altHQRecycle_e.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#check all modifications made
sim1.scenario['h_RecycledPERC'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.380000 | 20.000000 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.040000 | 19.000000 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
What if perovskite silicon tandems focused on circularity and lifetime improvements?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_life.csv')
sim1.createScenario(name='h_Perovskite_life', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_life'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
sim1.scenario['h_Perovskite_life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
What if perovskite Si tandems focused on circularity and efficiency?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_eff.csv')
sim1.createScenario(name='h_Perovskite_Eff', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#package to glass-glass
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
#trim to start in 2000, this trims module and materials
#had to specify and end year, cannot use to extend
sim1.trim_Years(startYear=2000, endYear=2100)
Trimming and extending PV_ICE PV_ICE glass : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silicon : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silver : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE copper : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_PERC r_PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_SHJ r_SHJ glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_TOPCon r_TOPCon glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_IRENA r_IRENA glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Life ex_Life glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_High_eff ex_High_eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Circular ex_Circular glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_EffLife h_EffLife glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_50PERC h_50PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_RecycledPERC h_RecycledPERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_life h_Perovskite_life glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_Eff h_Perovskite_Eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100
#check
#sim1.scenario['h_Perovskite'].dataIn_m
For the full derivation of the deployment curve, see the "PV Installations - Global" development journal. Essentially, the projection is 2000-2021 IRENA historical installation data, 2022 through 2050 is a quadratic fit to achieve 75 TW in 2050, and from 2050 to 2100 is a linear increase to 86 TW based on 2000-2021 global increase in electricity capacity.
This is the deployment curve applied to all PV technologies - however, it will be modified for each PV tech using the installation compensation method, increasing it for any replacement modules required to maintain capacity.
global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-globalDeploymentProjection-HieslmairPlus.csv'), index_col=0)
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'output-globalInstallsProjection.csv'), index_col=0)
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-expotoflatGlobalInstallsProjection.csv'), index_col=0)
fig, ax1 = plt.subplots(figsize=(8,6))
ax1.stackplot(global_projection.index, global_projection['World_Cumu_[MW]']/1e6, color='#F7A11A')
ax1.set_ylabel('Cumulative Solar Capacity [$TW_{dc}$]', color='#F7A11A', fontsize=18)
ax1.set_ylim(0,90)
ax1.set_xlim(2000,2100)
ax1.text(2051,70,'75 TW', color='#954712', fontsize=16)
ax1.text(2088,80,'86 TW', color='#954712', fontsize=16)
ax2 = ax1.twinx()
ax2.plot(global_projection.loc[:,'World_Annual_[MW]']/1e6)
ax2.set_ylabel('Annual Installations [$TW_{dc}$]', fontsize=18)
ax2.set_ylim(0,5)
ax2.axvspan(2000,2022, facecolor='0.2', alpha=0.1) #grey shading
ax2.text(2002,0.5,'Global\nHistorical\nDeployment', fontsize=14)
ax2.text(2060,0.3,'+ Replacements', fontsize=16)
ax2.set_zorder(10) #send orange to back
ax2.patch.set_visible(False) #send orange to back
plt.show()
fig.savefig('energyresults-deployment.png', dpi=300, bbox_inches='tight')
global_projection.loc[2050]/1e3
World_Cumu_[MW] 75000.00 World_Annual_[MW] 219.32 Name: 2050, dtype: float64
#deployment projection for all scenarios
sim1.modifyScenario(scenarios=None,stage='new_Installed_Capacity_[MW]',
value= global_projection['World_Annual_[MW]'], start_year=2000)
#for scen in scennames:
# sim1.scenario[scen].dataIn_m.loc[0:len(global_projection.index-1),'new_Installed_Capacity_[MW]'] = global_projection['World_annual_[MWdc]'].values
Can just calc mass here (exclude energy) because we're going to immediately do Install Compensation.
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
for scen in sim1.scenario.keys():
print(sim1.scenario[scen].material.keys())
dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet'])
idx_temp = pd.RangeIndex(start=2022,stop=2101,step=1) #create the index evolve_weibull = pd.DataFrame(index=idx_temp, columns=['alpha','beta'], dtype=float) evolve_weibull.loc[2022] = [5.3759,30] evolve_weibull.loc[2030] = [5.1 ,35] evolve_weibull.loc[2050] = [4.602 ,40.767]
evolve_weibull.interpolate(inplace=True) evolve_weibull = round(evolve_weibull,3)
dict_weibull = {'alpha':evolve_weibull['alpha'].tolist(), 'beta':evolve_weibull['beta'].tolist()} evolve_weibull.to_csv(os.path.join(altBaselinesfolder,'evolve_weibull.csv'))
IRENAregloss = {'alpha':5.3759,
'beta':30} #IRENA values
bifiFactors = {'PV_ICE':0.0,
'ex_Life':0.35, # ITRPV 2022, Fig. 58, 0.7 but only 50% of market share is bifi
'ex_High_eff': 0.92,
'ex_Circular': 0.0,
'h_EffLife': 0.92,
'h_50PERC':0.35,
'h_RecycledPERC': 0.0,
'h_Perovskite_life': 0.0,
'h_Perovskite_Eff': 0.0,
'r_PERC':0.7,
'r_SHJ':0.9, # ITRPV 2022, Fig. 58
'r_TOPCon':0.8, # ITRPV 2022, Fig. 58
'r_IRENA':0.0 }
#MAY NEED TO CHANGE TO BE DYNAMIC
#PV ICE currently set up to read in a csv of bifi factors, so generate files to read in
idx_temp = pd.RangeIndex(start=2000,stop=2101,step=1) #create the index
df_temp = pd.DataFrame(index=idx_temp, columns=['bifi'], dtype=float)
bifiPathDict={}
for f in bifiFactors.keys(): #loop over module types
bifi = df_temp.copy() #copy of df
bifi['bifi'] = bifiFactors[f] #assign column
bifipath = os.path.join(testfolder,'bifi_'+str(f)+'.csv') #create file path
bifi.to_csv(path_or_buf=bifipath, index_label='year') #create file
bifiPathDict[str(f)] = bifipath
#append bifi path to dict? or list?
#CALCULATE MASS FLOWs
#13 scenarios, 7 mats =
for scen in sim1.scenario.keys(): #loop over scenarios
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1332886970.008215 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37986680.26909867 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239542.88423709525 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 201360681.47667843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1290852719.8833628 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36789531.779275514 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 423776.51219061774 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 195011415.9259821 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1306398230.2829924 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37232979.68045521 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 401275.74060319446 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 197360344.86880428 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23989862.349487994 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4983742.518434505 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39188133.723720744 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet
ii_yearly, ii_cumu = sim1.aggregateResults() #have to do this to get auto plots
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1)
sim1.saveSimulation(customname='_EnergyAnalysis_identicalinstalls')
:) Saved Input and Output Dataframes
effective_capacity = ii_yearly.filter(like='ActiveCapacity')
#plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6, label='Capacity Target', color='black', ls='--')
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
#plt.legend()
#plt.ylabel('Effective Capacity [TW]')
#plt.title('Effective Capacity: No Replacements')
#plt.ylim(0,)
scennames_labels_flat[5:8]
['Long-Lived', 'High Eff', 'Circular']
effective_capacity_tw = ii_yearly.filter(like='ActiveCapacity')/1e6
plt.rcParams['figure.figsize'] = (10,5)
fig_effectiveCap = plt.figure()
#capacity target
plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6,
label='Capacity Target', color='black', ls='dashdot')
#BAU
plt.plot(effective_capacity_tw.iloc[:,0], label=scennames_labels_flat[0]) #, ls='dotted')
plt.plot(effective_capacity_tw.iloc[:,1:5], label=scennames_labels_flat[1:5])
#Extreme
plt.plot(effective_capacity_tw.iloc[:,5:8], label=scennames_labels_flat[5:8])
#create glowlines for extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
plt.plot(effective_capacity_tw.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1))) #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3))) #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,10], label=scennames_labels_flat[10], ls='--') #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,11], label=scennames_labels_flat[11], ls='-.') #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,12], label=scennames_labels_flat[12], ls=':') #color=colorpalette[4:7],
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
plt.legend(prop={'size': 11}) #bbox_to_anchor=(1,1.02),
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: No Replacements', fontsize=20)
plt.ylim(0,90)
plt.xlim(2000,2100)
#ax.xaxis.set_minor_locator(MultipleLocator(10))
plt.xticks(np.arange(2000, 2101, 10))
plt.yticks(np.arange(0, 91, 10))
plt.grid(axis='both', which='both', color='0.9', ls='--')
fig_effectiveCap
fig_effectiveCap.savefig('energyresults-effectivecapacity.png', dpi=300, bbox_inches='tight')
plt.rcParams['figure.figsize'] = (8, 6)
Make the installations always match up to the cumulative capacity deployment schedule.
#13 scenarios with 7 materials
#currently takes: ~50 mins
UnderInstall_df = pd.DataFrame()
for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
print(row)
for scen in sim1.scenario.keys(): #loop over scenarios
print(scen)
Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Effective_Capacity_[W]'][row])/1e6) # MWATTS
sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
UnderInstall_df.loc[row,scen] = Under_Installment #save the underinstallment as df
#calculate flows for that scenario with it's bifi factor and modified weibull
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
0 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 1 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 2 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 3 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 4 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 5 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 6 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 7 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 8 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 9 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 10 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 11 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 12 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 13 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 14 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 15 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 16 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242612349.970906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 17 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108033317.9369345 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653272.53179012 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83138919.23327936 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281630.48125414 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295572936.6270512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495130975.610381 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13740547.082039705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43597856.80883239 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2126052.756420062 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242629994.26986226 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 18 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3107910842.4695573 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25653213.143685937 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83132893.0350475 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5281386.973652116 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295552556.843888 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88864692.7563802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305065180.67756367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495023681.721467 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13739865.09148217 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43594779.89451902 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2125878.9988120017 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242606036.45815656 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 19 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244901875.9110062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43707343.042080544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261975.68999175882 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232173326.83278152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3107394034.1829743 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25652962.544402484 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83108747.8559685 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5280411.311313823 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295470235.667608 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692427532.1689775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88847577.96889473 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346794.45515292266 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305010080.00648594 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716916186.6328983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67635943.27660084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2704174.2247131173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349619104.87100863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2494549893.364249 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13738200.459386973 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43581044.283171326 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2125278.6353809875 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242512467.43771932 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 20 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223871.85442719175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244841333.139595 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43704437.81800425 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261949.01581335257 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232160168.18825486 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3107140055.3734446 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25652839.390596066 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83097555.24898659 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5279959.038623534 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295431438.68392867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1692272299.3645287 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88837036.0558774 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346726.062057862 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304974344.8490746 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3716695319.0989833 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296932 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67628792.18940106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2703972.826747083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349585365.8589845 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2494299396.937918 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13738047.814852212 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43573186.444596715 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2125043.5728110024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242472653.92940786 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 21 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35501570.34495217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223803.98615003953 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188187552.7819424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33751864.017683834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388785.79100056645 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178909555.89539593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34474981.185606666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371551.6116696236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182741060.06370747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244254959.689013 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43677690.44027746 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261716.89339092412 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232043519.10049662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862931.134029716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 22 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245688757.0170271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35487198.71599612 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 222402.35351152933 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 187668550.51413327 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184268550.3517087 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33737726.79546927 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 385847.7013845308 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178414122.48263636 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209627991.0027695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34460305.58907062 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 369276.642190831 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182234013.23880643 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244254959.689013 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43677690.44027746 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261716.89339092412 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232043519.10049662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.16273865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862924.99557431 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 23 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1245600323.1293683 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35484310.114476725 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 222378.2744830608 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 187655923.90284175 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1184184375.2063417 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33734977.30136424 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 385798.1377424896 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178402103.9355715 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1209541962.902537 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34457495.57011046 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 369237.46562586515 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182221730.1264098 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244254959.689013 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43677690.44027746 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261716.89339092412 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232043519.10049662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.162738416 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37862919.07340994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 24 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1242417308.6561885 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35382923.33977997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 221554.5771541768 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 187206736.90038663 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1181155231.6936917 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33638491.692068756 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 384136.78277067555 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 177974631.20306632 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1206446429.0759776 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34358895.267383575 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 367895.004185855 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 181784888.3928057 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1241961023.122305 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43586149.21358537 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261035.8477909801 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231637952.10872793 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815210.144122596 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37860411.18347486 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 25 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1238652076.6798127 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35264901.259906046 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 220631.3865785182 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 186681638.53505254 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1177572697.5349748 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33526196.31816242 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 382316.83973202395 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 177475011.8323877 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1202785714.5327275 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34244149.31097772 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 366386.93220534356 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 181274366.0040987 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1239113228.4931247 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43473897.37989663 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 260234.46024127907 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231138526.4551666 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.965688866 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815205.919396322 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37845224.95613505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 26 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1234337603.6766136 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35131851.411040425 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 219628.67802086068 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 186084718.50522715 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1173468342.5245504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33399626.094308224 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 380390.693596445 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 176907162.24486682 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1198592173.904638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34114828.77835058 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 364750.4226067725 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 180694177.32405895 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1235695812.6815164 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43340853.93688259 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 259322.8082110392 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230541635.1648035 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178610.96352154 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4815049.594128004 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37796522.874877654 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 27 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1229530386.361913 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34985881.99071254 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 218572.9240039987 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 185424946.59200022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1168896085.3922162 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33260791.155193668 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 378421.85328913096 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 176279637.70447618 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1193920983.4537406 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33972989.764692195 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 363028.9509393697 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 180053074.56978753 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1231690784.939142 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43188967.57684198 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258324.964075522 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 229855119.0840246 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178608.05352329 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4813413.229053153 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37695242.65700316 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 28 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1224337562.513908 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34830662.002189346 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 217497.88179937354 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 184717999.21889096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1163957968.6027927 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33113184.67867609 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 376484.50973672024 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 175607365.9705273 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1188876463.523536 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33822202.7654428 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 361279.44200959115 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 179366317.18736154 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1227213631.8514845 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43023558.78461652 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 257287.9077448808 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 229101766.9399772 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23178253.168889508 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4806103.520361469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37543204.992300816 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88749382.90639436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304688109.5454591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 29 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1218890793.8972626 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34670429.737676404 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 216438.30300100447 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 183982508.59604898 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1158779293.2220209 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32960839.14284727 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 374649.9693569661 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 174908076.63966408 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1183586663.1284726 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33666588.169747986 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 359559.73857443593 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 178652022.3712782 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1222403844.4772027 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42850439.76034455 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 256255.91891170756 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 228307124.11710602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23170103.704463728 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4787652.989618959 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37354813.00111053 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690895320.906937 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88610798.38496543 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346180.9698902497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304536601.52586025 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3714736133.7498417 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67568493.85840622 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2702274.6288537495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 349311439.2670124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 30 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1213376491.7893012 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34509329.53393557 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 215434.44209676702 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 183244002.11786103 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1153537336.708272 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32807695.50910505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 372992.5334710241 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 174206044.22141957 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1178232684.155512 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33510171.802548446 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357935.43663605774 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 177934987.2726925 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1217504948.1556628 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42674544.581298634 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 255272.4019326919 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 227500795.34661976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23110603.720852554 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4761895.342446227 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37128144.40712389 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1683121897.4650853 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88238658.04467633 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 344620.35430699604 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 303257142.93867236 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3702285880.2394867 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296917 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67323075.76213457 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2695362.853897501 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 348139531.13059187 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242162217.8104208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 31 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1207779616.3846443 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34346952.45734561 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 214430.7837137893 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 182500631.71102086 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1148216885.2147107 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32653338.06906909 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 371326.4889491113 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 173499388.11325407 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1172798532.681975 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33352515.687980346 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356302.4303389875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 177213229.66694817 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1212565175.0693831 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42497614.94554496 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 254276.18260459538 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 226690802.59348974 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3104961875.3985367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25651783.195571497 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83006308.56150794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5276271.927578478 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295126893.0126937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22952438.198435195 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4727132.356824264 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36883920.77338546 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1675336805.9380152 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87866869.46677062 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 343050.3108019998 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 301980592.86051273 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3689732386.5509243 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296932 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67077341.03095123 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2688442.161468247 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 346967670.7831448 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2492144081.347262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13737049.580475545 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 241316754.69244418 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 32 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1202712359.43009 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34199940.72113186 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 213535.87643732625 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 181827604.60365722 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1143399894.6410198 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32513587.08467763 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369832.74896249693 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 172859601.0921725 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1167878601.3835616 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33209778.177583914 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 354838.09195398726 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 176559770.1799129 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1208253160.1854436 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42343169.95192796 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 253406.5652162274 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 225983745.66063565 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3099237201.6176705 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24014635.65454953 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 82831819.09740773 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5246625.936271434 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 294440035.70916784 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22655294.35342765 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4685503.493325135 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36638786.17661774 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1668424067.5433974 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87536741.40491901 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 341656.1974533681 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 300847085.73252827 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3678944098.2811937 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296932 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66866160.20881037 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2682494.6199467187 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 345960591.1960777 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486643177.756666 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13676524.36460808 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43508404.855537616 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2123132.2025572024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 240683913.99628425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 33 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1197960952.1062455 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34062092.44416434 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 212709.65970272679 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 181196528.27266535 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1138883154.3797956 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32382546.990641676 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 368445.83907066565 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 172259692.9643653 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1163265336.7691474 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33075937.70991849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 353478.2871744795 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175947041.8010705 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1204370848.8033822 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42204115.8037489 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 252623.60746311903 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 225347148.7907109 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3094138910.9541254 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 23882504.574820913 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 82695981.46455804 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5237517.872679759 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 293952018.3748903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22223239.603986148 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4641341.236750378 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36407698.95446486 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1662099126.1065023 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87234684.45748514 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 340380.6269365734 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 299809961.8326295 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3669578013.5744123 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66682819.03186309 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2677331.1337388163 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 345086273.3726094 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2482552564.3343444 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13653995.62880446 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43456918.30362454 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2090948.9760454602 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 240244815.09927082 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 34 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1194469267.4301653 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33960791.359347604 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 212111.97999198578 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 180732766.82175723 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1135563920.0516207 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32286249.051567037 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 367436.7173169795 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 171818836.165788 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1159875169.383008 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32977581.854282707 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 352488.7460828771 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175496763.75718305 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1202003933.9405537 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42119339.15971571 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 252146.2644165612 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 224959037.05912307 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3093982117.2137637 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 23879730.76424273 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 82691803.88977033 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5237273.762528932 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 293937130.11948943 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21736426.560360648 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4600791.941994121 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36211536.56200143 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1657714510.0772073 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87025290.62408884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 339496.3678505035 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 299091000.2230666 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3664387059.9214516 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66581206.07596878 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2674469.381103425 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 344601701.2764061 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2482422166.4610724 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13653745.056656094 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43454510.55702519 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2090780.2695620183 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 240231701.0374788 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 35 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1192016155.4382982 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33889621.44310189 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211698.7351551582 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 180406947.37294453 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1133231964.2295969 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32218594.12953641 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 366734.82696273 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 171509108.5369205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1157493379.0761425 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32908481.12948234 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 351800.38137087686 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175180417.17066628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1200936528.2233813 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42081107.5038396 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 251930.99740170137 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 224784010.61955628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3098742294.1821604 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 23935759.121329587 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 82818632.90247382 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5243898.15779508 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 294386500.7954411 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21337392.873251062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4568173.695506175 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36061662.26479799 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1654952041.4341698 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 86893364.84200488 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 338939.2522487569 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 298638028.0839568 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3662970735.0526686 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66553481.506256685 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2673688.566691125 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 344469488.2850265 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486530471.811667 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13654654.542316351 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43532947.74714615 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2094436.5409051825 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 240619953.23601118 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 36 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1190577385.9236307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33847879.72637829 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211460.26962798706 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 180215851.6986371 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1131864253.9143999 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32178913.989003222 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 366327.31272483466 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 171327450.86188963 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1156096440.368935 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32867953.01208617 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 351400.66507248126 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 174994877.41499415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1201134678.719871 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42088204.73169926 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 251970.959025652 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 224816502.08492982 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3108872147.3513856 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24012924.601920616 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83088530.27914989 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5256820.997153924 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 295338856.09047586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21054869.316142187 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4548255.647141594 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35973142.63198069 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1653774824.6337562 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 86837145.10989377 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 338701.8392928481 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 298444995.5173706 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3665452396.6750255 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66602060.05074694 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2675056.6971277893 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 344701149.75896907 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2495123109.99315 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13655896.721414482 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 43698447.74120615 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2101100.478344553 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 241428286.986093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 37 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1191315886.948834 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33869305.187704705 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211580.66605073563 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 180313938.53600004 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1132566280.2932298 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32199281.244452316 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 366534.35406264255 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 171420693.17963162 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1156813469.7360594 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32888755.535645284 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 351603.77308627224 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175090112.4119912 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1203821203.2105672 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42184428.94914409 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 252512.75873513063 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 225257021.38218546 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3137281355.4719257 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24149161.974496234 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 83845458.4021036 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5290825.296437033 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 298002260.792914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21013949.168386884 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4545645.20556266 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35961789.00710325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1655795276.6210473 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 86933634.78743573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 339109.31009891036 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 298776296.45754904 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3685051742.1352663 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66985717.38212631 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2685861.740338075 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 346530735.71731466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2518831703.556001 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13658046.071180364 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 44157885.94590091 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2117555.037498039 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 243651735.45849663 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 38 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1193365855.9352703 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33928779.08109183 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211909.30392003898 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 180586213.00510633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1134515003.163877 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32255817.775988534 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 367103.1583696288 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 171679520.25874907 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1158803837.654268 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32946500.277225237 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 352161.85040820745 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175354470.73733276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1208267215.1199138 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42343673.36258933 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 253409.39971836543 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 225986050.2999111 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3187871599.4475417 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24298435.281056087 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 85193372.72093137 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5348773.914101939 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 302736463.27474576 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21294589.51538058 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4562416.1776008485 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36033769.662352845 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1659805973.1735306 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87125171.54233119 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 339918.15968672076 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 299433945.1158525 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3726167808.4440436 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67790564.68219781 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2708528.86838096 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 350368893.36056614 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2560401401.348753 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13660298.843373604 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 44966753.03970267 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2144077.6740309712 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 247542439.22694564 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 39 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1197344839.5464025 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34044217.72852668 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 212536.38810002437 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 181114696.92728847 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1138297468.5245636 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32365555.01742505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 368195.73037345795 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 172181902.85809964 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1162667135.8508875 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33058582.648514118 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 353233.97313898086 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 175867589.45885664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1215098557.1231942 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42588354.00504764 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 254787.09760481463 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 227106210.56236917 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3247842568.5830865 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24406472.56289048 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86791224.82954623 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5415544.08945652 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 308342079.21722645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21954056.657785375 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4600182.851362404 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36194538.993674695 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1666659232.743496 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87452459.10480574 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 341300.2777566835 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 300557699.2822959 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774657671.5438943 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68739754.10862938 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2735261.14202339 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354895390.06575245 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2608949991.186089 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13661783.278699461 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45913909.41061726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2173261.492177584 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 252080731.47151557 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 40 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1203906852.7368855 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34234595.47349644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 213552.74291522676 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 181986255.79941222 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1144535389.5212634 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32546530.1691321 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369978.6403570541 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 173010416.1863212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1169038364.056712 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33243425.32153278 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 354983.77191462606 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 176713808.49376577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1224994797.0437171 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42942811.20255181 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 256782.90294083089 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 228728933.4038544 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3325532276.4444823 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24494136.745968964 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 88861170.76027538 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5500582.224746359 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 315599025.7247777 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 23049802.0886703 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4661241.872984554 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36453169.06952751 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1677250706.41012 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87958270.61887047 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 343436.2930341917 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 302294422.15702903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3839328295.4891863 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 70005682.04748948 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2770913.8064240394 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 360932350.11259586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2670940642.2686124 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13662779.250458678 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 47125260.87750994 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2209092.5358993025 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 257871452.67525318 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 41 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1211914672.9971035 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34466919.1094005 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 214771.29394260893 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 183049845.06562817 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1152147711.3189251 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32767379.56637574 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 372131.2843083272 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 174021475.812022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1176813364.17404 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33468994.357514493 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357096.75714029913 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 177746474.8625028 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1236960711.3655326 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43371398.67518268 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 259196.1059194961 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230691028.3656992 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3419378818.3183184 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24565884.478278827 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 91361595.49879181 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5602352.270180858 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 324361986.41414636 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 24531708.834457368 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4742413.543410955 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36795975.29722169 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1690161708.7983081 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88574854.66294377 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 346040.09484847746 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304411486.6835605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3918668815.1961994 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 71558773.3036642 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2814653.927516342 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 368338735.24307215 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2744776022.990254 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663349.109202294 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 48569395.360070035 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2250765.470650364 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 264766002.05674306 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 42 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1221919360.6867242 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34757176.05131569 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 216266.55108632962 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 184378655.9146162 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1161658277.2247374 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33043301.00054181 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 374791.8682313143 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 175284657.98699078 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1186527174.614188 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33750812.34126088 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 359708.7273042315 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 179036651.73741645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1251583019.8044596 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43895131.17479145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 262145.03212193836 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 233088702.0366741 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3532403000.9983277 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24632351.414047886 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 94372984.6963141 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5724362.485708012 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 334913807.11216116 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 26360618.74476942 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4841534.325886282 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37213857.51077286 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1711158011.3983092 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89577564.1953608 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 350274.48418242973 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 307854327.6099512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4015811817.365507 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 73460348.28483208 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2868208.488210467 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 377406970.35740554 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2832481094.3856874 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663638.683830455 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 50285630.36344042 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2299618.828323293 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 272954165.36723274 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 43 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1233680132.848385 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35098380.681395896 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 217992.34069056885 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 185940707.8372468 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1172838196.310134 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33367653.86644415 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 377885.5363634288 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 176769561.68737268 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1197946012.9630015 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34082096.75534499 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 362746.34715588426 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 180553288.41329047 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1269168041.6544163 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44524980.250101216 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 265691.45790829405 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 235972182.71752986 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3666719100.2494116 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24701494.603129845 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 97951670.60889615 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5869082.639870576 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 347452500.7042084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 28375239.951931924 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4950058.316576497 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37670954.470447436 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1743795971.7889285 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 91136238.34031817 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 356856.6826767487 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 313206093.9626964 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4133014222.7932277 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 75754586.23215862 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2932821.7201964073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 388347737.52179307 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2935303917.099469 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663763.207600255 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 52298143.706792235 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2356523.1661866084 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 282552980.7924416 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 44 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1247404070.5505621 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35496540.85511137 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 219968.9542759174 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 187763505.09741604 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1185884321.6343763 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33746149.28358599 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 381456.0349392445 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 178502332.70491236 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1211270939.350579 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34468680.775205575 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 366252.72348850156 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182323089.46006867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1289387616.6798964 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45249192.06750006 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 269769.2021881338 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239287660.76802954 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3822463176.9951634 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24777923.869899895 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 102101278.41113155 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6036786.04982512 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 361991192.26178175 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 30372652.791690342 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5057273.831229889 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38122304.5853112 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1779505956.22109 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 92841621.54395853 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 364058.42576817935 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 319061591.39126813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4270580065.7320714 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 78447438.61837432 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3008661.2363796243 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 401189418.1329881 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3052947356.155804 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663805.615567023 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 54600938.43395982 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2421452.6835403633 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 293535038.089335 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 45 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1262538300.7439587 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35935616.567462996 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 222107.60619833536 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189773615.74713987 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1200271086.530948 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34163539.462318294 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 385349.79646488564 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180413165.89326248 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1225965155.2778504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34894990.752209276 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 370077.1870039025 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184274757.9326176 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1311164039.979055 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46029166.0814967 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 274160.9208781464 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 242858420.9534322 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3997451436.068388 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24862870.65956862 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 106763623.58869638 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6225185.51614307 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 378326239.6049753 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 32144127.55326296 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5152159.448721032 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38521629.27418728 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1820072995.8566258 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 94778960.6135759 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 372239.7062162293 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 325713518.01761276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4322888757.463654 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 79471381.6433288 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3037498.8154497715 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 406072399.96958464 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3183395553.991358 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663816.118915593 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 57154447.11032542 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2493384.435101234 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 305712321.6782487 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 46 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1278737755.9762747 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36405596.68901162 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 224352.8144805031 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 191925208.33335614 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1215670466.1588657 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34610307.71504721 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 389470.90203639085 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 182458493.3789461 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1241693625.8503366 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35351306.622429684 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 374125.6300317923 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 186363794.890402 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1335895829.5240743 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46914993.51512738 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 279148.65742653154 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 246913783.4070325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4195648390.913161 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 24958977.631115872 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 112044335.68631135 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6438569.439427879 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 396827794.637238 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 33584406.14521668 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5229202.03680199 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38845803.20800574 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1867962011.1482768 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 97065971.47666961 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 381897.63215812505 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 333566055.9101957 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4381310475.95861 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 80614987.21208833 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3069706.482488306 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 411526028.8184471 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3329234421.7614436 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13663817.868848853 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 60009242.315662436 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2573786.626421061 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 319138916.6123196 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 47 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1294781536.311471 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36871060.355776966 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 226532.89617186302 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 194056124.3628797 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1230921860.272461 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35052782.59809109 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 393506.13444324996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184484165.60271403 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1257270948.0162218 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35803237.36083625 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 378090.39657057344 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 188432756.4946392 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1361854226.5247161 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47844754.79076767 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 284383.7676971375 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 251170277.1945293 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4413187332.132914 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 22824289.384088103 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 117840391.02682453 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6408275.296625858 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 416549628.5490403 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 34662549.49186742 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5286822.095763904 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39088224.509910814 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1921364435.537669 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 99616283.35822059 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 392667.4643780902 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 342322647.76157594 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4440938721.63991 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296993 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 81782210.55938484 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3102579.303289718 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 417092286.18355143 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3484902610.6370983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 10747665.858857714 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 63102631.12636976 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2660906.6037570094 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 330870232.2692161 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 48 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1311859268.539472 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37366521.13227761 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 228807.11761851242 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 196324368.66641983 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1247156140.022042 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35523773.05181585 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 397752.16801166267 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 186640383.5403444 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1273852160.6645777 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36284293.064509064 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 382263.01817707514 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 190635053.651738 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1392773003.1219277 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 48952183.77297912 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 290619.2530745523 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 256240142.66040447 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4610041304.726396 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 19875032.60929084 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 123031632.36309905 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6375671.920230035 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 434199437.91851264 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 35446934.96875628 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5328714.733846393 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39264462.364415646 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1982696591.716532 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 102545291.32766344 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 405036.5101524665 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 352379506.8866852 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4505466860.706503 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 83045349.35569796 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3138153.41632874 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 423115945.3610445 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3613498766.3563814 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 8567460.838326525 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 66461470.38197967 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2573417.098907604 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 340594307.26373994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 49 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1329052464.256552 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37865331.74640265 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 231050.04474740487 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198607948.6947432 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1263500180.9157388 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35997947.906195626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 401977.32440991834 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188811179.8240084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1290545479.9506652 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36768601.21651868 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 386415.8720880197 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192852240.68057325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1429156882.420973 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 50255358.3114141 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 297956.90262965433 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 262206141.10775045 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4784031296.615361 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 17322438.961918637 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 127621612.09106989 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6351231.282800685 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 449813134.92445886 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 35967443.75087022 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5356501.332142599 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39381351.37389982 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2051451196.875468 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 105828769.34299883 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 418902.4641869201 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 363653452.25833386 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4572986678.578265 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10083998.023296978 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 84367050.28660168 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3175376.83030113 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 429418875.77975833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3712761440.4932227 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 7055104.844145689 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69098569.06942151 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2505276.18684749 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 348446917.50615734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 50 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1380695685.8994422 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39363609.75864529 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 237646.94343309852 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 205467140.63803193 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1312592772.115663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37422226.78770087 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 414519.4873525612 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 195331600.0325343 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1340687210.3745298 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38223317.82404109 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 398745.68647879147 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 199512006.32657015 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1486341182.2904441 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52260505.81384339 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 307932.88566250907 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 270822878.3318031 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4930485780.284318 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 17099284.403937146 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 131440898.46546513 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6482144.446934139 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 463150550.21669495 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37039924.080582626 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5413733.577518888 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39622099.17525229 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2117087241.8146102 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 108749908.30442588 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 431328.4307218343 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 373672642.78117627 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4715601176.626886 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859712 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87185891.558067 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3239091.5615522307 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 442324910.850815 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3777199345.587262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455045 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70371534.23110804 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2530161.653129908 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 354154882.15611434 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 51 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1392619836.0431328 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39709554.32613394 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239170.13288388195 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 207050892.23203078 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1323928034.1960607 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37751086.47921095 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 417415.41727874806 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 196837136.20676014 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1352264694.0487516 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38559204.87125385 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 401592.5811433481 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 201049714.08792767 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1504279797.2987654 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52862025.770569526 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 310070.01528179913 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 273022936.5978112 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4965287096.818385 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16821989.45307567 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 132293917.73872587 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6493196.20575645 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 466119710.85393715 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37195827.638709694 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5422051.37678147 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39657087.24019127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2127647909.1134534 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109057545.7333338 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 432719.8048254008 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 374756585.1107985 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4745803796.558963 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9688547.120422663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87826111.35797402 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3241449.198298207 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 444880112.2663456 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3764992513.2804704 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 9718977.252312029 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70126445.03423925 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2512293.7517632213 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 353554060.0329252 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 52 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1406146197.529619 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40101982.40006372 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 240759.1267888109 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 208847447.65166914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1336786342.4253728 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38124132.92909813 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 420166.89783567673 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 198544961.57870734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1365397789.093343 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38940223.46211694 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 404821.9994922432 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 202794036.32140914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1521442363.2378476 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53448624.83914865 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 312356.175342519 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 275129881.09847814 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4993948173.794285 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16541717.11258339 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 133057556.59501325 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6500636.266096989 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 468741867.9832174 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37283769.08664068 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5426742.324912333 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39676818.92209063 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2171763890.9078355 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110252300.22268878 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 441172.2646382973 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 378821669.0489645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4771474279.411127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9490821.668985397 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 88432142.5305841 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3242843.9716631826 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 447238425.4785185 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3752046833.575313 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 12690795.304611258 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69869409.45283137 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2494089.401199311 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352916871.7295967 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 53 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1423347841.2553918 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40573674.42982856 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 241077.0532547512 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 210560644.95130825 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1353122552.4166026 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38572010.85117428 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 420233.03013569716 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 200171281.9482154 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1382075229.2160738 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39397415.48363458 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 406198.1327200539 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 204453987.00830472 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1537283170.669043 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53998090.378923595 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 314528.15038938273 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 277051267.7497087 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5017339497.306549 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16258889.479391217 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 133680789.4047564 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6502402.775985325 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 470872097.10599524 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37346017.061145216 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5430062.17411258 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39690783.103294164 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2187845756.419779 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 111020313.53222619 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 444415.5442333355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 381458671.658997 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4793709616.14485 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9293096.217548316 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 88970930.6926879 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3242344.962283276 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 449276070.06857216 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3738125732.3134794 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 15886531.718614947 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69541187.06374231 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2473880.197684384 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352231673.03045416 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 54 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1440601020.835653 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41056487.4043703 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 241527.27569719212 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 212299805.6759333 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1369509843.4067848 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39030539.739673905 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 420705.7572835705 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 201822604.45050597 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1398805882.502205 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39865525.53433293 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407811.30416857474 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 206139633.89751828 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1551669826.1019602 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54510784.671167724 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 316656.28362094134 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 278781640.0228759 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5038546401.318647 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15975002.625641419 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 134245821.06559774 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6501817.484346608 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 472798412.1106843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37389828.15575274 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5432398.39174822 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39700609.751740955 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2204520207.4971414 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 111816626.64323513 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 447778.3323935464 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 384192842.7027234 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4812312345.644704 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9095370.766111111 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 89438610.54150026 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3239843.3106106683 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 450974613.17175466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3723772122.312734 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19181555.099958554 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69227905.07683097 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2454091.7646797635 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351525186.18609256 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 55 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1457215676.8589032 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41519068.99079198 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 241640.53686782633 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 213952030.6581715 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1385289417.3934917 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39469820.493468195 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 420642.5868034248 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 203391205.72054425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1414915471.3369057 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40313968.249312215 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 408969.8118807332 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 207740752.7349263 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1564498738.6485176 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54988652.05184186 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 318822.6451734749 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 280322028.50885385 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5056804249.29845 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15689685.780640041 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 134732278.78528813 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6498057.164065453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 474449434.68185794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37420509.238020316 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5434034.246354884 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39707490.45675085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2222034032.781787 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 112653025.3128752 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 451310.39974820556 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 387064649.02102387 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4827741407.059882 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8897645.314673906 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 89844165.81423828 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3235592.0280200257 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 452376896.4546309 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3708852628.066776 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 22606483.2104268 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68915060.71131349 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2434315.656522563 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 350790846.43401974 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 56 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1473165023.6544 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41963489.669129096 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 241457.96010335136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 215512179.83351204 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1400436760.4286017 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39891851.33782119 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 420209.65028916317 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 204872324.96274146 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1430379429.0739048 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40744799.45464805 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 409758.8092130175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 209252543.25637782 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1576123874.607494 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55425603.2611467 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 321121.79003265634 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 281680515.1113909 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5073128627.708879 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15403431.400190324 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 135167221.60580474 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6492215.2213279065 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 475919969.1452939 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37441867.081613265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5435172.880199938 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39712279.72710309 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2240718273.670376 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 113545318.91341434 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 455078.50844042987 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 390128372.6887223 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4840454649.508168 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8699919.863236826 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90196558.91074646 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3229843.5249559795 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 453525659.8300534 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3693546600.343137 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 26120144.17949753 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68630104.91242062 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2415324.9814662184 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 350037481.4460046 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 57 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1488358491.0205748 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42434131.73361477 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 240992.60940392117 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 216973505.66097596 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1414866727.183946 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40338353.08462823 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 419539.4529998928 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 206259678.0766394 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1445111263.0278327 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41200398.637250066 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 410228.7903555435 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 210668651.66122714 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1586447155.7883708 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55818696.73355714 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 323129.62697058404 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 282845132.1814419 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5087688163.703398 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15116321.251254857 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 135555142.3885541 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6484473.204411176 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 477225756.73443276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37456660.072582476 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5435961.45404829 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39715596.57379994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2261005423.8241043 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114514161.82029442 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 459169.8808055448 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 393454931.28142804 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4848931766.16604 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8502194.411799587 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90466029.81378467 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3221759.662157484 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454278983.65982103 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3677884698.647074 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 29715499.792625725 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68379100.56674388 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2397290.490194328 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 349266600.2875103 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 58 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1521839745.9716272 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43455035.38504382 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 240309.2018561019 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 218339818.9121785 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1446677627.2215927 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41308835.34067678 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 419122.3006349116 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 207557076.67667884 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1477593664.1951127 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42191620.45942161 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 411312.15221436304 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 211993064.7651972 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1595283558.1426082 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56158534.13031145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 324837.60045329545 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 283765940.26405036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5100710280.965639 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14828465.6111137 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 135902100.55558112 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6475075.963430581 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 478388027.2999865 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37466863.94595518 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5436505.352031822 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39717884.27252544 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2267550706.4966683 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114674729.89481266 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 460415.7970904864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394000056.04695034 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4853173182.126034 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8304468.960362379 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90652586.84454255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3211340.6739763943 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454636907.62604195 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3661908024.7163353 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 33383114.710068144 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68168642.33392441 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2380397.909855969 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 348480225.99225384 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 59 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1562194682.8186262 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44625816.61518079 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 244787.16577216377 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 223490606.59387583 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1485039474.667241 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42421792.87330847 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 428922.9758423931 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 212452632.613039 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1516775318.5738666 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43328362.30804058 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 420946.892019503 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 216992824.10052308 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1602804187.2009504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56451243.99996865 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 326280.21786278865 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 284470996.16213113 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5112719062.62197 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14540118.606605262 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136222059.6519248 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6464587.739593786 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 479455703.65577793 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37473879.00601178 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5436879.252019149 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39719456.935445055 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2272719895.8053594 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114769580.59233657 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 461384.1923673954 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394319537.7246422 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4856099534.0653 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8106743.5089251725 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90813401.48743299 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3200196.696096194 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454872071.2341919 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3645709819.6096954 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 37101584.45805539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68010203.03631262 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2364970.3525908017 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 347682947.8991804 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 60 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1572193865.1619637 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44915913.835470885 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246064.46007643675 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 224818686.22924718 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1494544807.5526803 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42697562.486594394 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 431351.3959147365 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 213715119.74439818 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1526483783.9463174 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43610025.22017928 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 423334.1964673082 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 218282291.04983342 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1609006073.0303133 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56696719.96736338 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 327456.8802434659 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 284959812.8848376 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5124528438.036098 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14251674.910416935 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136536705.8162087 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6453884.829930907 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 480504765.5705169 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37478688.3000154 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437135.571777644 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39720535.04141835 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2276919702.201809 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114818136.97294264 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 462157.08919191913 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394480066.1224549 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4857045547.39681 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7909018.057487966 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90935450.98752709 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3187960.9652147894 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454922371.5408162 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3629434237.2407665 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 40837816.977109365 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67918870.84505701 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2351432.750565873 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346881861.2856127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 61 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1582445848.5940423 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45213345.34476698 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 247374.04716022668 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 226180342.607819 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1504290455.9372134 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42980304.15578315 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 433841.21173078794 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 215009525.29762954 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1536437700.4495063 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43898809.18364994 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 425781.85716645204 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219604358.52956903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1614148354.1442778 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56904243.69017853 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 328419.8488614573 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285274882.32691723 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5135707463.472594 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13962925.558810882 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136834557.08697256 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6442503.269468653 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 481494984.7310292 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37481976.26841717 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437310.802206384 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39721272.07678408 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2280529340.839082 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114838509.01799577 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 462810.9650577387 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394543822.54315156 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4856940703.816009 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7711292.606050759 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91036929.95584218 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3175145.900989406 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454874575.0484992 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3613006758.6196995 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 44608918.89154966 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67885809.64695469 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2339536.249980772 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346073298.315655 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 62 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1593052981.007797 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45521080.46978246 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 248729.00093060033 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 227589169.45632452 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1514373712.8549922 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 43272840.55554861 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 436417.2796906213 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 216348771.61906928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1546736440.3059542 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 44197597.19473534 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 428314.30967288587 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 220972225.04141927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1618496749.7012777 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57083332.52742898 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 329222.7121219085 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285459775.43564624 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5147153201.944331 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13674305.535811309 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137139514.59583637 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6431408.859035737 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 482510101.37728536 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37484216.38824952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437430.184005555 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39721774.20722936 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2283680370.79577 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114836979.52617194 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 463372.3518914404 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394532379.2125017 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4855981864.938535 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7513567.154613552 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91121691.95995067 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3161860.032465949 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454747058.65908414 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3610596787.767815 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 34321535.72802941 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67924967.6361829 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2329673.6775286538 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345265055.94893885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 63 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1593614999.995799 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45537385.81761707 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 248800.7931659672 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 227663816.15712762 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1514907974.295964 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 43288340.598813385 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 436553.77267017 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 216419731.595131 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1547282119.1120315 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 44213428.47967234 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 428448.49168732873 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 221044701.45848233 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1622136648.672133 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57237044.88670567 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 329882.6906828647 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285528493.7544869 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5158520967.996905 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13385647.70414481 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137442394.62627724 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6420230.501515535 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 483517939.3496936 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37485734.9495731 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437511.109894589 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722114.58852049 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2286993378.6870837 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114843185.5305536 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 463966.4053165789 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394547495.9992748 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4854393079.461993 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7315841.70317622 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91194122.75475416 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3148226.8768233 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454560737.1705645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3612186831.4017477 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19979343.64042958 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68028526.72597818 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2321624.8503578114 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 344454163.1957093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 64 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1594030564.6641848 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45549442.218931645 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 248853.87734482897 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 227719010.9674942 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1515303014.647358 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 43299801.546709605 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 436654.697480513 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 216472200.38986057 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1547685601.6222553 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 44225134.35227598 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 428547.70773789013 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 221098291.53081605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1625491203.4546585 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57380536.970187575 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 330485.1229981513 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285550423.1377515 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5170080063.054734 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13097082.647522489 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137750372.3808152 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6409258.133662923 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 484543637.7584184 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37486756.71885755 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437565.560038863 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722343.61046464 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2290694988.2967873 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114867949.7856314 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 464638.8292530808 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394626333.2384353 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4852664705.820011 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7118116.25173829 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91263821.11019363 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3134516.7667659107 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454361385.2189637 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3617162241.9174175 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4980074.007631583 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68198354.39735554 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2315442.3628315288 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 343642895.5580337 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 65 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1561275436.9392037 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44610292.985125504 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 242233.0257078421 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 222879242.7907661 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1484165629.5667388 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42407035.94421917 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 426070.0605309071 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 211871463.46810532 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1515882798.9985776 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43313290.01553324 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 418181.49211369467 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 216399235.1448128 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1628751293.1802225 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57520645.564624995 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 331068.50425300875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285556862.7383427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5181636596.770249 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12808516.348910477 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 138058281.89156333 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6398283.008204109 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 485569097.0675291 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37487437.02325303 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437601.81294272 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722496.09323774 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2295020860.703761 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114922526.63531128 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 465437.1502001518 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394807533.1434522 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4866452371.747012 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6920390.800301083 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91637246.0541913 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3129360.58920262 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 455610445.31674135 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3625247582.3557453 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4841738.618530642 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68429058.9698174 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2310974.3676214996 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 342829423.86469257 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 66 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1521475195.7976596 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43475192.55615118 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 234483.37757643432 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 217149807.98482978 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1446331081.9652853 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41327996.974126466 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 413531.2881591547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 206424999.63485864 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1477239713.059117 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42211191.58175903 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 405897.98439391033 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 210836378.35653383 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1632112340.1156347 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57664370.17989029 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 331672.2458608626 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285579856.66378313 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5210435685.757436 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12528310.930160873 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 138825597.90675658 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6405871.655782059 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 488204137.5269414 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37487883.804876894 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437625.621330826 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722596.233317494 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2299474000.5311146 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114983181.3291722 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 466261.137561814 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 395009601.5552642 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4882544089.853917 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6722665.348864127 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92055772.83653842 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3125474.6266785543 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457074587.16427463 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3645396395.5299315 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4703403.229429702 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68895906.10971332 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2313156.9181881845 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 342162621.1791213 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 67 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1474163847.8252516 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42122179.18808662 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 225556.5547565676 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 210422756.806009 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1401356393.665501 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40041807.56933388 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 398937.0523246506 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 200030190.71403012 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1431303898.8676386 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40897515.82880018 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 391597.3890324729 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 204304909.9813028 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1635984854.8899188 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57826414.223366335 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 332379.13677089824 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285686717.8510816 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5236129164.531228 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12246599.607356742 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 139510168.78877056 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6410116.724509093 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 490549271.32339656 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488172.44356291 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437641.002375732 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722660.92728085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2303507242.3954606 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115023783.17381622 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 467000.4428015915 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 395142817.7544038 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4901725219.983087 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6524939.897426857 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92534774.88191907 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3123291.8450317527 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 458827123.5843179 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3663372419.1408973 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4565067.840328761 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69320220.87794581 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2314141.618287612 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 342850954.59598345 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 68 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1419935020.5102108 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40568475.25755334 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 215593.52088532952 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 202776934.1589218 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1349805873.1363852 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38564839.500314474 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 382500.72357590514 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 192761987.49259543 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1378651724.5584683 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39388984.403276525 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 375488.39455195295 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 196881382.55665663 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1640515294.9203832 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58012023.413235925 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 333218.7135037846 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285901461.4613778 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5257767585.544923 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11962921.99532037 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140086697.6850385 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6409996.015036584 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 492515868.1552778 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488355.57340847 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437650.760989666 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722701.97282759 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2306854620.063288 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115031630.55778705 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 467601.42768594186 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 395163570.2797861 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4923450251.531726 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6327214.445989681 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93063573.81627567 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3122511.506380609 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 460817131.5222702 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3678511387.6889405 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4426732.451228072 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69689000.27247794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2313562.260923644 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 344237574.64808834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 69 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1356978274.2249603 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38761556.11949242 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 204319.24544685174 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 193971879.58211282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1289958496.9685144 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36847162.27375526 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 363736.11708986753 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184391805.666001 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1317525387.5871863 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37634599.77214522 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357093.76629371406 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 188332326.81660026 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1645844349.0765395 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58226236.85352319 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 334219.3492193024 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 286247156.7658227 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5277661251.045647 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11678398.354896476 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140616739.73416027 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6407996.8574549025 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 494319593.21198916 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488469.63185382 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437656.838909492 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722727.5370667 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2214505877.727895 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109738296.35417713 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448532.62419242086 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 376957749.2105115 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4980699371.118312 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188803969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94784308.03655444 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3076934.7407494728 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 465971251.97088075 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3692429666.482489 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4288397.062127132 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70033884.65609747 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2312309.9420278524 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345510244.11756533 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 70 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1287235283.347126 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36757753.81389639 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 192106.045189158 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 184265483.98214856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1223660042.0541463 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34942325.74276773 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 343246.8404396642 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 175164799.149625 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1249810109.8642983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35689056.171103686 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 337004.8513550732 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 178908135.71743047 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1652165776.7151928 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58475994.4930526 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 335420.1199666699 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 286755575.19847214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5295269408.590971 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11392766.476329321 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141085887.25784 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6403537.063947208 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 495909967.6100589 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488539.403609194 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437660.556882635 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722743.17517266 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2215311611.968066 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109776775.38635255 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448695.11911057745 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377089868.4160229 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5019681217.546273 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188803969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95547377.96293244 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3098425.2815331807 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 469610181.59736574 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3704748926.8896546 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4150061.673026192 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70347468.24305569 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2310176.090491395 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346633646.2764172 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 71 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1211745238.3763118 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34587217.433454625 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 179160.919445639 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 173795771.41863763 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1151898373.85157 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32878989.95310658 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 321364.16343242413 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 165212175.07146984 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1176514868.143329 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33581626.1287932 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 315546.0916346634 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 168742820.36454657 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1659714978.7871215 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58769727.77265149 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 336868.4997842535 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287465316.318634 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5311367783.651085 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11106402.507316269 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141514808.49933168 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6397451.80026129 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 497359404.80996054 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488581.35204293 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437662.792213477 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722752.57716109 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2215889943.778623 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109804394.47864686 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448811.75307688885 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377184699.6091316 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5060217077.885718 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188803969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 96340867.72659 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3120772.5442647613 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 473394177.39645785 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3716011892.5910535 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4011726.283925252 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70640374.853388 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2307459.9077764936 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 347658444.0218991 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 72 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1130557347.7237554 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 32251374.617230494 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 165521.35912627415 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 162569277.69486994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1074720271.4126136 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 30658512.063031115 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 298133.1909234096 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 154540146.57016605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1097687440.654146 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 31313695.791720495 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 292761.3157822292 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 157842726.60623127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1668326528.673857 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59101511.54741171 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 338531.1265738714 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 288349254.5155175 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5326103944.239592 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10819378.003285969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141907435.2253733 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6389899.94186944 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 498681680.1883328 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488606.14238455 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437664.113230091 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722758.13346742 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2216304457.2701783 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109824190.18445358 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448895.3492957497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377252668.910225 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5102962981.522118 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188803969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 97177619.10431612 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3144338.1953109237 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 477384479.278151 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3726321807.1419864 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3873390.894824312 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70914625.4804479 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2304218.3116551447 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 348594275.071732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 73 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1045916198.8288682 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 29815345.54750621 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 151576.94575996726 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 150884126.2739183 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 994259463.0702147 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 28342795.99998113 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 274208.32870484743 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 143432112.93268424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1015507154.914557 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 28948492.015173227 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 269292.1610708515 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 146497310.15954447 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1678228630.495619 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59479519.48668257 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 340454.0229667946 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 289444809.2576654 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5339674135.402506 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10531788.123060724 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142268996.14187205 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6381092.771173619 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 499895113.0906512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488620.530962564 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437664.879961921 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722761.35840562 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2216601758.215961 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109838388.23151033 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448955.3068977036 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377301418.4392776 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5148805946.480646 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188803969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98074995.48018469 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3169611.2442639573 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 481663889.7894457 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3735815970.190033 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3735055.505723372 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71172907.76584555 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2300526.9948910675 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 349453956.25736624 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 74 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 958655075.258556 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 27303305.525638662 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 137476.9394080068 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 138850992.89882827 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 911308078.0025775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 25954823.09031085 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 249837.44007811477 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 131993283.8245785 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 930783067.8700025 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 26509487.2354837 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 245381.59108068031 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 134814029.01617002 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1688867265.9769049 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59883908.117905006 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 342525.45838258334 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290661136.1316969 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5352494717.537663 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10243834.758947736 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142610584.65534148 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6371478.552355377 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 501038570.4851539 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488628.719648436 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.316316725 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39722763.193750404 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2216815350.7950444 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109819602.30891418 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 448998.3827742477 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377230724.50395536 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5197836588.304018 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5140861.737366849 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 99055876.06757012 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3197236.04448012 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 486202858.4181549 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3744785681.5007105 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3596720.1166221816 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71420923.90463108 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2296546.549916272 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 350264680.21958375 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 75 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 869728751.6574657 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 24742954.563579302 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 123383.16873132874 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 126596689.61466345 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 826773736.1461396 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 23520925.289134175 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 225294.75897204195 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 120344208.25804296 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 844442195.3037506 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 24023576.121901568 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 221298.54199043577 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 122916008.32186028 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1649020688.6654491 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58480049.65875468 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 334415.38467057527 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 283599217.064446 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5365188558.26634 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9955819.938185405 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142948796.30119452 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6361727.880519172 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 502170196.6530425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488633.27956463 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.559303358 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39674990.95736813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2092279027.0293972 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 103720174.09722324 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 423808.66575967433 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 356281916.3642389 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5205330422.46304 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4943136.285929704 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 99306099.20846927 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3188610.1018499583 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 486864393.47586215 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3753666720.252276 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3458384.7275212416 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71667204.2774205 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2292517.2201032247 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351067126.65695363 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 76 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 780196672.2288337 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 22165029.35637567 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 109466.29785969845 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 114261930.55412209 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 741663555.4836433 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 21070321.198259346 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 200875.12078340564 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 108618650.45872852 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 757513178.3713207 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 21520601.70855159 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 197332.27738794274 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 110939870.9847531 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1608556655.7657192 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57054075.569914624 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 326180.7867789061 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 276436051.53442323 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5377467663.371205 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9667604.012965485 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143275957.83062336 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6351530.6937743975 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 503263107.52427506 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488635.75797144 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.691371512 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39503568.47124774 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1968789878.3834946 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 97670755.28455271 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 398830.1357927587 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 335504817.3786546 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5053820822.446729 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4745410.834492435 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 96443828.95719779 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3092326.1820525546 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 472683062.9345083 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3762257595.9849834 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3320049.3384203017 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71907804.706984 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2288327.924542181 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351842486.5680918 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 77 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 692028099.8078089 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 19626662.342949398 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 96023.55530404922 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 102108270.89024241 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 657849539.6728226 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 18657321.564188857 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 177105.31198476919 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 97065247.75014913 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 671908025.7781321 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 19056035.372149132 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 173999.91462545356 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 99139567.75173274 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1583613903.1816173 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56184032.7808953 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 321076.4135305881 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 271817967.3989039 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5390025763.331686 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9379523.371781675 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143610552.83202636 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6341633.879978789 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 504382062.3810745 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488637.06886844 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.761225962 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39194480.2690085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1848601977.973214 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 91778992.47150248 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 374517.378775679 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 315269036.2027011 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4886543186.859759 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4547685.383055353 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93272899.29378383 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2987349.40534174 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457029796.6833985 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3771043665.9207053 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3181713.9493193617 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72152226.06450555 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2284246.2387889368 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352636067.7292054 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 78 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 606638947.9451295 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 17168932.140645027 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 83255.03270760602 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 90323770.59509161 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 576677671.7302852 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 16320976.173022036 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 154349.6274354761 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 85862772.01309809 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 589001484.6979194 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 16669761.407230303 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 151659.26503652008 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 87697690.92510243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1553646344.401954 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55134014.69455253 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 314958.67206382664 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 266375947.31871694 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5402646460.457909 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9091473.083835782 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143946815.6572901 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6331804.459882031 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 505506860.6419662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488637.741138674 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.7970495755 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38733570.99801691 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1729645382.0771735 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 85946032.42945708 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 350452.9427511696 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 295235156.55461323 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4699855131.621382 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4349959.931618146 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 89722010.52308647 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2871671.7394870226 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 439564580.57346034 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3779873530.94308 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3043378.5602184217 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72397504.7111701 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2280188.697097269 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 353433737.1327425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 79 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 524878986.75038815 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 14816492.35994927 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 71267.85380462262 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 79021295.13491945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 498955752.9525512 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 14084721.03208636 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 132812.92918637308 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 75118514.46544683 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 509618619.20062834 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 14385716.650331747 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 130511.7454974885 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 76723824.54399145 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1517849012.7826655 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53875189.53002504 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 307665.2222639478 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 259977997.95392236 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5415576990.016515 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8803573.033004044 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 144291333.58352253 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6322308.613252993 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 506660581.55585605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.07390097 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5437665.814781653 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38107832.93932004 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1622795617.3821478 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 80387228.85519391 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 328681.94658680615 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 276130219.9334405 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4493191762.353487 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4152234.480180939 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 85780104.83350386 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2744981.7604065607 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 420234682.0874659 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3788920165.1763906 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2905043.171117482 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72647026.61673133 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2276250.659431672 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 354251641.7989998 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 80 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 448095300.6932713 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 12608424.742421973 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 60232.64127518402 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 68379762.68422127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 425964336.1433526 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 11985707.659980236 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 112820.82803334213 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 65002556.62408927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 435067348.2499876 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 12241846.569664195 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 110877.47782466019 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 66391684.86646975 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1476097509.4587677 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52403101.64826109 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 299170.97622680606 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 252603721.16529918 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5428733911.721538 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8515782.759262081 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 144641883.4477699 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6313056.506160072 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 507835436.0271393 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.23202948 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5419851.835988313 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37307146.54468341 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1622805156.4358644 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 80387684.40683432 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 328683.8703572949 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 276131784.08714706 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4268718773.5090017 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3954509.028743732 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 81489575.70986325 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2608473.4070607927 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 399242267.3727071 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3798125190.9846663 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2766707.782016542 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72899649.03853619 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2272399.9424276305 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 355084332.21420294 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 81 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 377192570.2697568 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 10570975.963853462 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 50247.92196783887 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 58519331.8421675 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 358563420.4686997 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 10048886.433538994 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 94574.93550734712 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 55629122.566514716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 366226049.553463 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 10263634.742039321 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 92954.93981846506 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 56817936.986281395 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1428363340.1858952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 50716730.46062467 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 289470.1874299434 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 244248444.64684483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5454615622.27274 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8234162.70966267 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 145331469.53208563 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6317504.23000052 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 510198141.13573676 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.3037331 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5359182.611647889 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36326115.26657475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1622810908.7208982 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 80387959.11572693 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 328685.0304384223 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 276132727.31047124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4028531209.576405 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3756783.57730665 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 76891433.66341895 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2463301.669358483 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 376782907.4489413 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3816232907.8904533 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2628372.3929158524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73326541.70398235 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2273457.2445302214 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 356748082.9654023 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 82 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 312906711.2024607 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 8725496.480527882 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 41382.19737036751 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 49537746.06927295 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 297452574.86269957 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 8294553.312593887 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 78226.88032255048 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 47091128.2155481 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 303809242.4289103 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 8471810.869230367 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 76893.6118323401 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 48097482.51863255 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1374731097.4518561 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 48819105.84678712 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278579.91590221063 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 234926039.3397741 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5478037217.132921 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7951349.754985325 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 145955508.88435748 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6319303.330791033 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 512331196.068856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.33455871 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5255768.363412006 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35165347.638744324 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1507714214.896856 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 74739334.4147901 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 305399.032812099 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 256731769.99535355 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3765734763.3022804 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3559058.1258694115 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 71850722.57903315 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2305665.742424371 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 352213023.2859931 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3832619444.9538035 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2490037.0038149124 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73719742.26136741 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2273565.6668547653 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 358251162.71471024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 83 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 254764484.10439962 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7058256.626760404 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 33536.42695679239 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 41372150.26689779 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 242181933.90239206 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6709656.759106685 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 63620.73220891967 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 39328822.97495298 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 247357447.07450187 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 6853044.479933503 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 62540.8371380658 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 40169293.89679635 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1315440096.141397 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46718799.434361495 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 266548.4250171512 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 224675746.5855361 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5498337017.006 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7667023.04828975 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 146496371.8802238 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6317741.427792098 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 514172833.50107855 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.34703965 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 5111173.266323475 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 33831477.5199983 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1435675044.3602562 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 71146985.51941265 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 290796.57918055175 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 244391113.06679147 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3480355924.6225395 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3361332.6744322046 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 66367960.997395895 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2135580.2300574696 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 325535087.7018899 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3846821869.040829 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2351701.6147139724 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74070188.7911944 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2272469.996158284 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 359550356.9597279 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 84 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 231589096.90808174 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 6464241.778149588 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 30215.247238761363 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 36521168.2030435 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 220151155.90107563 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6144979.711047046 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 57445.896102275074 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 34717426.03469819 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 224855862.99498746 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 6276300.06862474 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 56473.277429313355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 35459349.67040106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1250658781.769701 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44421844.49716936 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 253409.68570319188 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 213525187.01451483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5517246333.888209 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7382022.099229622 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147000187.18099734 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6314682.495481256 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 515884670.26416284 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 37488638.35176736 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4928057.700464688 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 32335685.013230182 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1358935355.9110296 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 67330156.428256 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 275246.1575523309 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 231279694.93550104 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3186144048.527635 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3163607.2229949976 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60712292.64346104 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1960625.0983891366 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 298032593.90704924 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3860051464.3686733 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2213366.225613033 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74401592.19091305 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2270838.00873631 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 360758738.2823812 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 85 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 231589099.59108263 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 6464241.855989061 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 30215.24758148756 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 36521168.55939652 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 220151158.45156577 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6144979.785042106 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 57445.896753873654 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 34717426.37345129 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 224855865.5999826 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 6276300.1442011045 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 56473.27806987972 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 35459350.01639345 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1180994162.2198446 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 41949982.455671966 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 239286.11511894807 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 201573893.94085172 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5534385155.018537 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7096162.640392657 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147456829.8178767 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6309717.402466118 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 517431232.41776955 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 36827514.22777356 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4709629.739598408 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30691427.932108607 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1344829620.6157947 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 66504504.54943702 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 272327.3191238355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 228438596.36515036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2879935298.8700304 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2965881.7715577907 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 54821785.401396014 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1779056.1368101994 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 269410199.88600487 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3872042361.2034445 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2075030.836512093 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74708748.05852918 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2268523.1316347085 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 361851487.91855055 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 86 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 231589100.6820787 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 6464241.887641144 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 30215.247720851265 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 36521168.70430133 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 220151159.48867875 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6144979.815130924 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 57445.89701883501 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 34717426.511199415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 224855866.659259 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 6276300.174932931 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 56473.27833035501 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 35459350.1570853 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1106741461.1007245 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 39313787.44043689 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 224237.2519234142 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 188870276.26503327 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5193693444.450785 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6636791.887001814 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 138379521.64752004 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5919502.868668789 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 485574550.69314355 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 35565827.05856836 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4459236.653058884 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28912752.534538295 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1329480554.240245 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 65619475.55313537 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 269157.73426796397 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 225393624.22668108 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2566346745.961404 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2768156.3201205833 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 48786818.45647331 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1593418.7182936373 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 240098906.10395506 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3633682959.3043947 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1936695.447411153 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70115294.98912242 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2128191.1048781765 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 339574202.460425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 87 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 231589101.10006264 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 6464241.899767732 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 30215.247774244483 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 36521168.759817466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 220151159.8860189 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6144979.826658594 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 57445.89712034738 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 34717426.563973665 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 224855867.06509045 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 6276300.18670695 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 56473.27843014866 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 35459350.21098736 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1028733485.3112001 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 36543088.39678091 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 208431.05086162096 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 175550892.39592773 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4837864651.575326 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6170081.193291845 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 128898904.68905659 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5512991.367515305 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 452304832.3292744 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 33768220.242313705 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4180298.762294987 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 27014025.776218526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1312381752.3220346 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 64650885.34411643 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 265635.27482935146 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 222061741.51869872 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2246555688.675865 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2570430.8686833763 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 42630437.44280309 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1404361.883147046 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 210208612.6334923 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3384733144.508743 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1798360.058310213 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 65314534.509457596 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1982020.6245266204 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 316308308.9506678 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 88 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 187209377.61507353 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 5196281.097556371 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 24497.565520294593 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 30183492.496525906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 177963328.3114048 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4939642.971760503 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 46575.31938449369 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 28692764.67480346 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 181766454.4263473 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 5045204.50379036 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 45786.747824752856 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 29305937.541360747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 947817873.6706547 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 33668245.510272205 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 192038.45787791937 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 161754732.78693846 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4470340273.775173 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5697699.334320431 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 119106673.37280005 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5093888.102516299 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 417943338.83463544 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 31503468.90083589 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3876471.110858757 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 25010613.192455832 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1292858507.51167 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 63566512.273463406 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 261623.87048844396 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 218332313.99666882 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1922064706.3640447 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2372705.417246044 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 36382055.36221338 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1212713.9975443503 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 179879584.2649277 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3127600704.3628497 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1660024.6692092733 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 60353599.07844453 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1831339.0945248497 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 292278572.7670023 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 89 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 180409397.5183894 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 5018587.351373444 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 23580.314995435765 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 28837113.53963322 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 171499160.42922133 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4770724.413870187 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 44831.41432953386 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 27412877.77039852 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 175164161.16854113 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4872676.566250987 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 44072.372863326746 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 27998701.142884556 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 864470298.27718 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 30706296.100152742 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 175155.40323665153 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 147559795.14071128 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4094795702.8000574 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5221428.500046214 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 109100753.95443603 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4666150.093799495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 382833165.60240513 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 28847367.577131335 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3551789.8988025547 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 22919489.199697234 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1270033126.236926 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 62324440.78451005 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 256946.51406585798 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 214061423.01887348 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1595983323.3277788 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2174979.965808743 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 30102541.175758064 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1020189.3301846272 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 149402093.03878996 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2864857066.794178 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1521689.2801083333 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 55282824.416655436 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1677564.1331257126 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 267725035.00868466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 90 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 171941479.00342202 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4792503.218642421 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 22450.002225245356 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 27269200.964259055 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 163449463.81532225 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4555806.347023296 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 42682.43879005964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 25922402.805131704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 166942439.5501825 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4653165.620529126 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 41959.78166692083 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 26476374.17472535 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 779863317.5371054 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 27699238.11412337 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 158018.3604209722 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 133158348.16982856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3715132204.5175014 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4743160.406326599 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 98985090.82543527 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4233977.543305917 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 347338493.22552633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 25883464.630329885 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3210706.7481431994 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 20759377.319248788 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1182708715.3131177 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 58002122.59246518 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 239261.43869392457 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 199214389.03062862 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1350446078.8683329 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1977254.5143710333 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 25399679.093696833 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 872068.3343364113 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 126443343.96994188 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2599231688.8748813 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1383353.8910073934 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 50155639.66633092 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1522200.4794372101 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 242902488.69129068 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 91 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 157563787.59452736 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4394964.197880845 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 20564.77580334121 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 24916359.305625953 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 149781871.98701388 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4177901.374885394 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 39098.20478384712 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 23685765.606622014 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 152982766.21437803 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4267184.678938164 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 38436.23239106168 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 24191939.20982963 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 694650473.6154075 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 24670479.707817826 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 140759.1313021625 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 118657555.58570978 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3331491661.911755 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4262963.851931085 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 88763464.28197795 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3797523.205860851 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 311472566.38690066 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22702203.33721368 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2858041.1124223555 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 18550548.53990839 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1086791254.0807686 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 53269430.55407878 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 219843.37626870887 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 182958320.99251357 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1115873611.067144 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1779529.0629338261 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 20911452.59527854 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 729992.1773744707 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 104508149.5627043 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2330823836.7221427 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1245018.5019064534 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 44973987.96244411 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1365302.858485112 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 217820200.24131927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 92 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 142775809.21929526 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 3985521.8929937356 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 18627.139375575982 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 22509023.81480325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 135724256.8528169 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3788681.0098481895 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 35414.32772082462 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 21397325.97146449 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 138624734.62803653 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3869646.5302484217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 34814.727116304326 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 21854594.77074344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 609475950.1309541 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 21643093.838445697 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 123507.63038454289 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 104163046.54456407 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2947276286.23112 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3782488.5621506823 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 78526522.02403326 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3360449.9885242437 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 275552979.26026475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 19399094.94412295 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2498882.5469690086 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 16314409.955242991 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 983237065.7504297 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 48172035.30086913 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 198885.19145213315 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 165450030.7371099 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 897023190.2918658 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1581803.6114969328 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 16730985.282901369 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 596583.5240193956 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 84040597.86493419 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2062013811.9785488 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1106683.1128055134 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 39784463.72713655 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1208183.5213419856 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 192700369.24552393 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 93 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 125098112.36915492 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 3492242.80343689 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 16320.370670568878 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 19717879.315733057 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 118919643.50844778 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3319764.4739091923 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 31028.648240919716 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 18744033.26571942 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 121461000.45907204 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3390709.073872089 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 30503.30165357149 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 19144600.21538316 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 525423852.4545096 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 18655910.299403902 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 106482.49255380245 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 89852585.7895509 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2562275504.011113 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3301632.430342091 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68268653.58275117 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2922531.182554823 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 239560074.95173934 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 16072228.749534212 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2138457.9871935174 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 14072946.492602907 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 873039746.6253327 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 42757387.49610803 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 176587.2658860899 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 146852441.90303373 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 691530525.9249495 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1384078.1600598518 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 12811996.150356507 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 470538.95001469715 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 64819983.90849411 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1792654290.3520963 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 968347.7237048242 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 34584183.08630994 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1050761.2486964853 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 167529243.07851633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 94 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 104191732.86765428 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 2905292.8685851293 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 13601.1704467351 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 16497904.98527112 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 99045808.87785257 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 2761803.4008253557 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 25858.844873112655 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 15683090.199502502 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 101162454.60277939 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 2820824.165454069 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 25421.028317659075 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 16018243.659640035 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 442948274.5348444 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 15725193.537571006 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 89775.29634211978 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 75800632.77484351 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2177819807.5943575 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2821040.6095271963 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 58025308.27679027 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2485199.229808593 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 203618054.04305714 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 12819644.80418629 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1781991.7442600918 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 11848132.041574914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 756303696.679252 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 37030472.91519039 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 152970.65423643318 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 127182673.33779222 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 501032082.8576858 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1186352.7086227157 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 9186519.009913964 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 352760.63211410475 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 46999070.61051847 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1523676129.1227922 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 830012.334604135 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 29391367.578059316 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 893549.2185602738 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 142393716.65279123 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 95 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 79432880.75541112 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 2206574.6353619774 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 10389.855852535014 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 12766249.774865814 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 75509771.34035923 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 2097594.151945692 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 19753.422821005846 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 12135737.65156529 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 77123443.20844759 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 2142420.518411482 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 19418.97727504928 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 12395082.871580021 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 362459397.1249314 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 12865635.145040227 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 73468.76417155511 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 62074446.34646149 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1793896478.453076 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2340706.9325177134 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 47796147.236748934 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2048440.437195437 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 167725729.26804766 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 9737362.677321995 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1434600.462885148 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 9661487.637664136 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 635391088.67382 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 31104100.617426716 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 128511.74319549474 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 106828059.19320662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 460141484.1457139 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 988627.2571856028 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 8489616.521885935 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 317460.53911824786 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 43143950.80529343 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1255070429.9799893 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 691676.9455034458 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 24205843.017888427 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 736542.5253291638 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 117292959.31692478 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 96 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 50356183.14795587 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 1382586.661794735 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 6626.980213802116 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 8461103.405486671 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 47869142.331767716 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 1314302.1085627994 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 12599.360764670166 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 8043218.093255789 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 48892123.69086692 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 1342389.2330886116 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 12386.040768542893 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 8215104.650602721 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 284452632.460219 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 10094979.48067882 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 57662.807361051375 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 48755261.069943815 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1455936455.4391224 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1882660.7688467104 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 38791621.49397068 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1661166.9076145461 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 136124048.77298594 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 6918416.443655963 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1101241.6981857256 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 7533865.172218427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 511161969.67651886 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 25019343.42450949 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 103383.98111742624 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 85929624.54873778 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 416341915.88094705 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 790901.8057485059 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 7735770.933489925 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 280556.74247937417 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 39017280.61294726 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1018622208.7504454 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 553341.5564027566 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 19649801.32412859 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 597264.1250704477 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 95194081.31245044 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 97 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 16717902.508890497 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 426257.6115119258 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 2281.4085280642803 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 3550092.9442926687 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 15892222.268056488 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 405205.1805137943 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 4337.464152229008 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 3374757.458405669 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 16231844.958458323 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 413864.56571877346 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 4264.026469915945 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 3446877.2771311887 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 209474341.5043815 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 7432795.752344006 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 42467.61221727146 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 35932665.76110034 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1107104410.8778443 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1419342.7841152078 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 29497424.21837068 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1262188.283442081 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 103507472.24467818 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 4452391.644883225 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 786689.2415066076 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 5485343.61079416 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 384702200.3330361 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 18828058.22005536 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 77806.35687964363 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 64665421.96642732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 368422231.79083025 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 593176.3543113774 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 6901274.047542449 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 241381.5419502756 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 34506000.32859014 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 774567554.8632519 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 415006.16730206745 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 14944863.655211272 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 453792.3279603571 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 72385147.84149283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 98 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 11715872.553709378 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 300726.1642411436 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 1593.8279298308976 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 2442515.610008087 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 11137237.495583067 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 285873.6040454161 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 3030.2207714003493 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 2321882.2438754756 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 11375244.396503275 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 291982.8291544773 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 2978.9160500447465 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 2371501.728809533 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 137080216.33998638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 4863170.022974156 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 27793.57378726681 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 23533805.617292836 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 745126000.6697546 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 949650.1535110098 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 19852958.331604782 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 849055.9480429183 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 69663691.16306147 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2424782.4004729884 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 495498.8624488924 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 3535084.9012638833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 258783570.86149612 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 12662615.951774554 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 52337.86599479383 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 43489952.078321114 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 314766650.55724144 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 395450.90287426475 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 5954496.932870222 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 199044.1635509697 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 29459277.83298672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 521315260.54184127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 276670.7782013783 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 10059882.107219653 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 305249.9073171515 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 48717620.708696194 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 99 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 6211893.932473248 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 160632.13497605425 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 842.1284716572583 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 1268270.0444122022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 5905094.793274082 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 152698.67675776832 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 1601.0732017909397 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 1205631.4744537536 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 6031288.8621093575 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 155961.9042101155 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 1573.9654032448977 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 1231396.2663940187 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 67745883.18420486 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 2403137.968477693 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 13736.613082431988 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 11636670.817903731 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 376530713.8199078 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 476749.01292705274 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 10032193.97164631 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 428799.7151555602 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 35202229.015695736 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 915974.2081298165 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 231954.10482922173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 1701105.9870885918 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 130861823.56294012 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 6401511.824452761 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 26465.40013763792 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 21986023.596022565 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 253275359.27954683 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 197725.45143711273 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 4854335.736516142 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 152386.98856552222 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 23681096.978253607 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 263433576.3355382 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 138335.38910068915 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 5084280.218219421 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 154155.3219679888 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 24617943.086675923 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 100 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet
#test with one scenario
#scen='r_Perovskite'
#df_compensate = pd.DataFrame(columns=['underinstalls[W]'],dtype=float)
#for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
# print(row)
# Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Installed_Capacity_[W]'][row])/1e6) # MWATTS
# if row==0:
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# else:
# if Under_Installment < 0.7*df_compensate.iloc[row-1,0]:
# Under_Installment = df_compensate.iloc[row-1,0]
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
#calculate flows for that scenario with it's bifi factor and modified weibull
# sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
#aggregate results - mass
cc_yearly, cc_cumu = sim1.aggregateResults() #have to do this to get auto plots
cc_yearly.to_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'))
#aggregate results - energy
allenergy, energyGen, energy_demands = sim1.aggregateEnergyResults()
allenergy.to_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'))
energyGen.to_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'))
energy_demands.to_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'))
UnderInstall_df.to_csv(os.path.join(testfolder, 'cc_13scen_underInstalls.csv'))
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands
sim1.saveSimulation(customname='_EnergyAnalysis_withreplacements')
sim1.pickle_Sim()
:) Saved Input and Output Dataframes
sim1 = PV_ICE.Simulation.load_Simpickle(filename=r'C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\EnergyAnalysis\sim1.pkl')
sim1.scenario['r_PERC'].dataOut_e
| mod_MFG | mod_Install | mod_OandM | mod_Repair | mod_Demount | mod_Store | mod_Resell_Certify | mod_ReMFG_Disassembly | mod_Recycle_Crush | e_out_annual_[Wh] | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.100675e+10 | 5.218383e+07 | 0.0 | 0.0 | 0.000000e+00 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 1.256856e+12 |
| 1 | 2.000736e+10 | 2.024658e+07 | 0.0 | 0.0 | 3.334110e-01 | 0.0 | 0.0 | 0.0 | 1.410855e+00 | 1.741612e+12 |
| 2 | 2.276802e+10 | 2.279250e+07 | 0.0 | 0.0 | 2.577242e+01 | 0.0 | 0.0 | 0.0 | 1.090580e+02 | 2.289873e+12 |
| 3 | 3.488451e+10 | 3.455051e+07 | 0.0 | 0.0 | 3.160848e+02 | 0.0 | 0.0 | 0.0 | 1.337538e+03 | 3.131165e+12 |
| 4 | 7.146438e+10 | 7.003510e+07 | 0.0 | 0.0 | 1.821996e+03 | 0.0 | 0.0 | 0.0 | 7.709921e+03 | 4.863158e+12 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 96 | 2.679303e+13 | 7.513347e+10 | 0.0 | 0.0 | 6.263916e+10 | 0.0 | 0.0 | 0.0 | 3.147618e+12 | 1.355841e+17 |
| 97 | 2.893271e+13 | 8.113359e+10 | 0.0 | 0.0 | 6.984759e+10 | 0.0 | 0.0 | 0.0 | 3.509841e+12 | 1.359336e+17 |
| 98 | 1.561072e+13 | 4.377583e+10 | 0.0 | 0.0 | 2.459524e+10 | 0.0 | 0.0 | 0.0 | 1.235911e+12 | 1.362831e+17 |
| 99 | 1.586147e+13 | 4.447900e+10 | 0.0 | 0.0 | 2.538845e+10 | 0.0 | 0.0 | 0.0 | 1.275769e+12 | 1.366325e+17 |
| 100 | 1.620853e+13 | 4.545222e+10 | 0.0 | 0.0 | 2.650713e+10 | 0.0 | 0.0 | 0.0 | 1.331983e+12 | 1.369820e+17 |
101 rows × 10 columns
#read in saved results files for speed
cc_yearly = pd.read_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'), index_col='year')
cc_cumu = pd.read_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'), index_col='year')
allenergy = pd.read_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'), index_col='year')
energyGen = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'), index_col='year')
energy_demands = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'), index_col='year')
plt.plot(sim1.scenario['r_PERC'].dataOut_m['EffectiveCapacity[W]'])
#sim1.scenario['PV_ICE'].dataOut_m['irradiance_stc'].head(2)
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
UnderInstall_df_temp = cc_yearly.filter(like='newInstalledCapacity_').subtract(global_projection[['World_Annual_[MW]']].values)
#Attempt to make the deployment less dumb
UnderInstall_df_cumu = UnderInstall_df_temp.cumsum()
flatinstall = UnderInstall_df_cumu.iloc[-1,:]/(2100-2022)
flatinstall
newInstalledCapacity_sim1_PV_ICE_[MW] 1.368096e+06 newInstalledCapacity_sim1_r_PERC_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 2.364027e+06 newInstalledCapacity_sim1_ex_Life_[MW] 8.566408e+05 newInstalledCapacity_sim1_ex_High_eff_[MW] 2.296523e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 4.174462e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 1.358057e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 9.478607e+05 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 1.936067e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 2.431438e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 4.174462e+06 Name: 2100, dtype: float64
sim1.scenario['h_RecycledPERC'].dataOut_m['WeibullParams'].tail(4)
97 {'alpha': 11.337691281946588, 'beta': 39.02126...
98 {'alpha': 11.337691281946588, 'beta': 39.02126...
99 {'alpha': 11.337691281946588, 'beta': 39.02126...
100 {'alpha': 11.337691281946588, 'beta': 39.02126...
Name: WeibullParams, dtype: object
effective_capacity = cc_yearly.filter(like='ActiveCapacity')
plt.plot(effective_capacity/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: With Replacements')
plt.ylim(0,)
(0.0, 90.2642608744082)
annual_EoL = cc_yearly.filter(like='DecommisionedCapacity')
plt.plot(annual_EoL/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual EoL [TW]')
plt.title('Annual Decommissions [TW]')
plt.ylim(0,)
(0.0, 341.9988000904351)
annual_installs = cc_yearly.filter(like='newInstalled')
plt.plot(annual_installs/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual installed [TW]')
plt.title('Annual Installs with Replacements')
plt.ylim(0,)
(0.0, 6.895463427872977)
annual_installs = cc_yearly.filter(like='newInstalled')
posttransinstalls = annual_installs.loc[2051:,].cumsum()
flatinstallslate = posttransinstalls.loc[2100]/(2100-2050)
flatinstallslate
newInstalledCapacity_sim1_PV_ICE_[MW] 2.249566e+06 newInstalledCapacity_sim1_r_PERC_[MW] 2.182223e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 2.182223e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 2.182223e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 3.690030e+06 newInstalledCapacity_sim1_ex_Life_[MW] 1.475738e+06 newInstalledCapacity_sim1_ex_High_eff_[MW] 3.625060e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 6.073744e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 2.184430e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 1.605486e+06 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 2.957287e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 3.688046e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 6.073744e+06 Name: 2100, dtype: float64
annual_installs_modify = annual_installs.copy()
for col in annual_installs_modify:
annual_installs_modify.loc[2051:,col] = flatinstallslate[col]
#annual_installs_modify
#plt.plot(annual_installs_modify)
#decade binning of post 2050 installs by decade
posttransinstalls_annual = annual_installs.loc[2051:,]
posttransinstalls_decades = posttransinstalls_annual.groupby(np.arange(len(posttransinstalls_annual))//10).sum()
posttransinstalls_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
posttransinstalls_decades
#this is the sum each decade, still need to divide by 10 for annual
| newInstalledCapacity_sim1_PV_ICE_[MW] | newInstalledCapacity_sim1_r_PERC_[MW] | newInstalledCapacity_sim1_r_SHJ_[MW] | newInstalledCapacity_sim1_r_TOPCon_[MW] | newInstalledCapacity_sim1_r_IRENA_[MW] | newInstalledCapacity_sim1_ex_Life_[MW] | newInstalledCapacity_sim1_ex_High_eff_[MW] | newInstalledCapacity_sim1_ex_Circular_[MW] | newInstalledCapacity_sim1_h_EffLife_[MW] | newInstalledCapacity_sim1_h_50PERC_[MW] | newInstalledCapacity_sim1_h_RecycledPERC_[MW] | newInstalledCapacity_sim1_h_Perovskite_life_[MW] | newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 8.279560e+06 | 1.224219e+07 | 1.224219e+07 | 1.224219e+07 | 2.711196e+07 | 5.336501e+06 | 2.615307e+07 | 5.597238e+07 | 1.275259e+07 | 5.930058e+06 | 1.971178e+07 | 3.961737e+07 | 5.597238e+07 |
| 2061-2070 | 2.397628e+07 | 1.989478e+07 | 1.989478e+07 | 1.989478e+07 | 4.271881e+07 | 5.344013e+06 | 4.295032e+07 | 5.892975e+07 | 3.164687e+07 | 7.963071e+06 | 4.002397e+07 | 4.159982e+07 | 5.892975e+07 |
| 2071-2080 | 4.059146e+07 | 4.032863e+07 | 4.032863e+07 | 4.032863e+07 | 3.366204e+07 | 7.069602e+06 | 3.101810e+07 | 6.296329e+07 | 2.718512e+07 | 1.392302e+07 | 2.524992e+07 | 2.599375e+07 | 6.296329e+07 |
| 2081-2090 | 2.161481e+07 | 2.019958e+07 | 2.019958e+07 | 2.019958e+07 | 3.931799e+07 | 2.010894e+07 | 3.973576e+07 | 6.179410e+07 | 2.050702e+07 | 2.474963e+07 | 2.145408e+07 | 4.894650e+07 | 6.179410e+07 |
| 2091-2100 | 1.801617e+07 | 1.644598e+07 | 1.644598e+07 | 1.644598e+07 | 4.169074e+07 | 3.592785e+07 | 4.139574e+07 | 6.402768e+07 | 1.712988e+07 | 2.770850e+07 | 4.142458e+07 | 2.824485e+07 | 6.402768e+07 |
annual_installs_decademod = annual_installs.copy()
for col in annual_installs_decademod:
annual_installs_decademod.loc[2051:2060,col] = posttransinstalls_decades.loc['2051-2060',col]/10
annual_installs_decademod.loc[2061:2070,col] = posttransinstalls_decades.loc['2061-2070',col]/10
annual_installs_decademod.loc[2071:2080,col] = posttransinstalls_decades.loc['2071-2080',col]/10
annual_installs_decademod.loc[2081:2090,col] = posttransinstalls_decades.loc['2081-2090',col]/10
annual_installs_decademod.loc[2091:2100,col] = posttransinstalls_decades.loc['2091-2100',col]/10
#plt.plot(annual_installs_decademod)
annual_installs_decademod_GW = np.round(annual_installs_decademod/1e3,2)
annual_installs_decademod_GW.to_csv(os.path.join(testfolder, 'cc_annual_installs_decademod_GW.csv'))
#annual_installs_TW = cc_yearly.filter(like='newInstalled')
annual_installs_decademod_TW = annual_installs_decademod/1e6
fig_installs_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
ax1.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_installs_decademod_TW.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual installed [TW]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
#ax2.plot(annual_installs_TW.iloc[:,4:7], label=scennames_labels_flat[4:7], ls='--')
ax2.plot(annual_installs_decademod_TW.iloc[:,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_installs_decademod_TW.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1)))#
ax3.plot(annual_installs_decademod_TW.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3)))#
ax3.plot(annual_installs_decademod_TW.iloc[:,10], label=scennames_labels_flat[10], ls='--')#
ax3.plot(annual_installs_decademod_TW.iloc[:,11], label=scennames_labels_flat[11], ls='-.')#
ax3.plot(annual_installs_decademod_TW.iloc[:,12], label=scennames_labels_flat[12], ls=':')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_installs_annual.suptitle('Annual Installs with Replacements Decade Average Post 2050', fontsize=20, y=1)
plt.show()
fig_installs_annual.savefig('energyresults-annualInstalls-decade.png', dpi=300, bbox_inches='tight')
cumu_installs_annually = cc_cumu.filter(like='newInstalled')
plt.plot(cumu_installs_annually/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Cumulative installed [TW]')
plt.title('Replacements Adjusted Deployment Curve \n Cumulative Installs with Replacements')
plt.ylim(0,)
(0.0, 432.2630609648433)
cumu_installs = cc_cumu.filter(like='newInstalled')
plt.bar(scennames_labels, cumu_installs.loc[2100]/1e6, tick_label=scennames_labels, color=colorpalette)
#plt.legend(scennames)
plt.xticks(rotation=90)
plt.ylabel('Cumulative installed [TW]')
plt.title('Cumulative Installs with Replacements')
plt.ylim(0,410)
(0.0, 410.0)
total_deploy = cumu_installs.iloc[-1,]/1e6
total_deploy.index = scennames_labels_flat
cumu_installs = cc_cumu.filter(like='newInstalled')
fig_installs_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,410)
ax0.set_ylabel('Cumulative installed [TW]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_installs_cumu.suptitle('Cumulative Installs with Replacements', fontsize=24)
plt.show()
fig_installs_cumu.savefig('energyresults-cumulativedeploy.png', dpi=300, bbox_inches='tight')
cumulative_nameplate_installs = global_projection.loc[2100,'World_Cumu_[MW]'] #MW
print('The nameplate installations for energy transition and through 2100 are '+str(cumulative_nameplate_installs/1e6)+' TW.')
The nameplate installations for energy transition and through 2100 are 85.966 TW.
global_projection['World_Annual_[MW]'].sum()
86071125.65201999
Additional_installs = cumu_installs.loc[2100]-global_projection.loc[2100,'World_cum'] plt.bar(scennames_labels, Additional_installs/1e6, tick_label=scennames_labels, color=colorpalette)
plt.ylabel('Cumulative Replacements [TW]') plt.title('Replacements Required by Technology') plt.xticks(rotation=90) plt.ylim(0,410)
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.bar(scennames_labels, cumu_virgin_module.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Virgin Material Demands') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.xticks(rotation=90)
cumu_virgin_module_bt = cc_cumu.filter(like='VirginStock_Module')/1e9
fig_vmat_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,12.5)
ax0.set_ylabel('Cumulative Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_vmat_cumu.suptitle('Cumulative Virgin Material Demands', fontsize=24)
plt.show()
fig_vmat_cumu.savefig('energyresults-cumuMatDemand.png', dpi=300, bbox_inches='tight')
virgin = cumu_virgin_module_bt.iloc[-1,:]
virgin.index=scennames_labels_flat
recycledperc_virginstock = cc_cumu.filter(like='VirginStock').filter(like='Recycled')
recycledperc_virginstock.drop('VirginStock_Module_sim1_h_RecycledPERC_[Tonnes]',axis=1, inplace=True)
plt.bar(recycledperc_virginstock.columns, recycledperc_virginstock.loc[2100]/1e6, tick_label = MATERIALS, color=colormats)
plt.ylabel('Million Metric tonnes')
Text(0, 0.5, 'Million Metric tonnes')
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.plot(cumu_virgin_module/1e9) plt.legend(scennames_labels_flat) plt.title('Cumulative Virgin Material Extraction: Module') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.ylim(0,)
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
plt.plot(annual_virgin_module/1e6)
plt.legend(scennames_labels)
plt.title('Annual Virgin Material Extraction: Module')
plt.ylabel('Virgin Material Requirements\n[million tonnes]')
plt.ylim(0,)
(0.0, 391.7296505402338)
annual_virgin_module_mt = annual_virgin_module/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_virgin_module_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,8.5) ax1.legend(bbox_to_anchor=(0.9,-0.05)) ax1.set_ylim(0,450)
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_virgin_module_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Material Demands', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualMatDemands.png', dpi=300, bbox_inches='tight')
#do it by decade to match up with annual installs graphs
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
virgin_module_annual = annual_virgin_module.loc[2051:,]
virgin_module_decades = virgin_module_annual.groupby(np.arange(len(virgin_module_annual))//10).sum()
virgin_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
virgin_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| VirginStock_Module_sim1_PV_ICE_[Tonnes] | VirginStock_Module_sim1_r_PERC_[Tonnes] | VirginStock_Module_sim1_r_SHJ_[Tonnes] | VirginStock_Module_sim1_r_TOPCon_[Tonnes] | VirginStock_Module_sim1_r_IRENA_[Tonnes] | VirginStock_Module_sim1_ex_Life_[Tonnes] | VirginStock_Module_sim1_ex_High_eff_[Tonnes] | VirginStock_Module_sim1_ex_Circular_[Tonnes] | VirginStock_Module_sim1_h_EffLife_[Tonnes] | VirginStock_Module_sim1_h_50PERC_[Tonnes] | VirginStock_Module_sim1_h_RecycledPERC_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_life_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 4.321980e+08 | 4.987907e+08 | 4.739903e+08 | 4.841032e+08 | 9.345975e+08 | 3.207438e+08 | 1.216751e+09 | 5.659374e+08 | 5.933040e+08 | 3.535127e+08 | 5.488878e+08 | 4.454504e+08 | 1.630892e+08 |
| 2061-2070 | 1.249876e+09 | 6.861875e+08 | 6.523614e+08 | 6.662986e+08 | 1.330746e+09 | 3.211953e+08 | 1.998230e+09 | 5.590233e+08 | 1.472346e+09 | 4.592111e+08 | 8.350999e+08 | 4.605696e+08 | 3.446212e+08 |
| 2071-2080 | 2.115600e+09 | 1.188447e+09 | 1.129861e+09 | 1.153999e+09 | 1.143031e+09 | 4.249098e+08 | 1.443093e+09 | 5.430129e+08 | 1.264766e+09 | 7.698480e+08 | 6.335186e+08 | 5.124797e+08 | 4.280469e+08 |
| 2081-2090 | 1.127058e+09 | 7.017532e+08 | 6.671616e+08 | 6.814141e+08 | 1.296610e+09 | 1.208623e+09 | 1.848675e+09 | 5.848733e+08 | 9.540730e+08 | 1.333871e+09 | 5.873700e+08 | 3.738009e+08 | 4.563718e+08 |
| 2091-2100 | 9.395978e+08 | 6.100085e+08 | 5.799398e+08 | 5.923288e+08 | 1.359549e+09 | 2.159399e+09 | 1.925904e+09 | 5.883970e+08 | 7.969540e+08 | 1.487385e+09 | 8.355684e+08 | 5.234743e+08 | 4.605654e+08 |
annual_virgin_module_decademod = annual_virgin_module.copy()
for col in annual_virgin_module_decademod:
annual_virgin_module_decademod.loc[2051:2060,col] = virgin_module_decades.loc['2051-2060',col]/10
annual_virgin_module_decademod.loc[2061:2070,col] = virgin_module_decades.loc['2061-2070',col]/10
annual_virgin_module_decademod.loc[2071:2080,col] = virgin_module_decades.loc['2071-2080',col]/10
annual_virgin_module_decademod.loc[2081:2090,col] = virgin_module_decades.loc['2081-2090',col]/10
annual_virgin_module_decademod.loc[2091:2100,col] = virgin_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_virgin_module_decademod_mt = annual_virgin_module_decademod/1e6
fig_vmat_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_virgin_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.set_ylim(0,450)
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1)))#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3)))#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,10], label=scennames_labels_flat[10], ls='--')#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,11], label=scennames_labels_flat[11], ls='-.')#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,12], label=scennames_labels_flat[12], ls=':')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_vmat_annual.suptitle('Annual Material Demands Decade Average Post 2050', fontsize=24, y=1)
plt.show()
fig_vmat_annual.savefig('energyresults-annualMatDemands-decade.png', dpi=300, bbox_inches='tight')
plt.fig_effectiveCap fig_installs_annual fig_vmat_annual
#print out masses for stacked bar charts
#mass_cumu = cc_cumu.loc[[2100]].filter(like='PV_ICE_[Tonnes]')
mass_cumu_virgin = cc_cumu.filter(like='VirginStock').loc[2100]
mass_cumu_wasteall = cc_cumu.filter(like='WasteAll').loc[2100]
mass_cumu = pd.concat([mass_cumu_virgin,mass_cumu_wasteall])
mass_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_2100results.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_results.csv'))
cumu_lifecycle_wastes = cc_cumu.filter(like='WasteAll_Module')
plt.bar(scennames_labels, cumu_lifecycle_wastes.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Lifecycle Wastes') plt.ylabel('Lifecycle Wastes\n[billion tonnes]') plt.xticks(rotation=90)
cumu_lifecycle_wastes_bt = cc_cumu.filter(like='WasteAll_Module')/1e9
fig_wastes, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,9)
ax0.set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_wastes.suptitle('Cumulative Lifecycle Wastes', fontsize=24)
plt.show()
fig_wastes.savefig('energyresults-cumuWaste.png', dpi=300, bbox_inches='tight')
wastes = cumu_lifecycle_wastes_bt.iloc[-1,:]
wastes.index=scennames_labels_flat
annual_waste_module = cc_yearly.filter(like='WasteAll_Module')
plt.plot(annual_waste_module/1e6)
plt.legend(scennames_labels_flat)
plt.title('Annual Waste: Module')
plt.ylabel('Lifecycle Wastes\n[million tonnes]')
plt.ylim(0,)
(0.0, 254.73926446198394)
#do it by decade to match up with annual installs graphs
waste_module_annual = annual_waste_module.loc[2051:,]
waste_module_decades = waste_module_annual.groupby(np.arange(len(waste_module_annual))//10).sum()
waste_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
waste_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| WasteAll_Module_sim1_PV_ICE_[Tonnes] | WasteAll_Module_sim1_r_PERC_[Tonnes] | WasteAll_Module_sim1_r_SHJ_[Tonnes] | WasteAll_Module_sim1_r_TOPCon_[Tonnes] | WasteAll_Module_sim1_r_IRENA_[Tonnes] | WasteAll_Module_sim1_ex_Life_[Tonnes] | WasteAll_Module_sim1_ex_High_eff_[Tonnes] | WasteAll_Module_sim1_ex_Circular_[Tonnes] | WasteAll_Module_sim1_h_EffLife_[Tonnes] | WasteAll_Module_sim1_h_50PERC_[Tonnes] | WasteAll_Module_sim1_h_RecycledPERC_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_life_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 1.617346e+08 | 1.631207e+08 | 1.552545e+08 | 1.585806e+08 | 5.670456e+08 | 1.970243e+07 | 1.032382e+09 | 2.068823e+08 | 4.022682e+08 | 2.580233e+07 | 1.491474e+08 | 2.710490e+08 | 2.986263e+08 |
| 2061-2070 | 1.151376e+09 | 3.639343e+08 | 3.459871e+08 | 3.533784e+08 | 1.013363e+09 | 1.398648e+07 | 1.958368e+09 | 2.193507e+08 | 1.491037e+09 | 1.461269e+08 | 3.699865e+08 | 2.848699e+08 | 2.875498e+08 |
| 2071-2080 | 2.120682e+09 | 9.004554e+08 | 8.560489e+08 | 8.743372e+08 | 7.171454e+08 | 1.389476e+08 | 1.284500e+09 | 2.372257e+08 | 1.185709e+09 | 4.942359e+08 | 2.076553e+08 | 1.572582e+08 | 3.071650e+08 |
| 2081-2090 | 9.303395e+08 | 3.654869e+08 | 3.474621e+08 | 3.548854e+08 | 8.708022e+08 | 1.106227e+09 | 1.761013e+09 | 2.300823e+08 | 8.007517e+08 | 1.129794e+09 | 1.645857e+08 | 3.506985e+08 | 2.981124e+08 |
| 2091-2100 | 7.035357e+08 | 2.665202e+08 | 2.533760e+08 | 2.587893e+08 | 9.365480e+08 | 2.279298e+09 | 1.845355e+09 | 2.393274e+08 | 6.144244e+08 | 1.307910e+09 | 3.898770e+08 | 1.739593e+08 | 3.100235e+08 |
annual_waste_module_decademod = annual_waste_module.copy()
for col in annual_waste_module_decademod:
annual_waste_module_decademod.loc[2051:2060,col] = waste_module_decades.loc['2051-2060',col]/10
annual_waste_module_decademod.loc[2061:2070,col] = waste_module_decades.loc['2061-2070',col]/10
annual_waste_module_decademod.loc[2071:2080,col] = waste_module_decades.loc['2071-2080',col]/10
annual_waste_module_decademod.loc[2081:2090,col] = waste_module_decades.loc['2081-2090',col]/10
annual_waste_module_decademod.loc[2091:2100,col] = waste_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_waste_module_decademod_mt = annual_waste_module_decademod/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_waste_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Lifecycle Wastes\n[million tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,225) ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax2.set_prop_cycle(color=colorpalette[5:8]) ax2.plot(annual_waste_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8]) #,
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_waste_module_decademod_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Lifecycle Wastes', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualwaste.png', dpi=300, bbox_inches='tight')
sim1.scenario['r_IRENA'].dataOut_m.loc[45:,]
| Area | Cumulative_Active_Area | EOL_BadStatus | EOL_Landfill0 | EOL_PATHS | EOL_PG | Effective_Capacity_[W] | Landfill_0_ProjLife | MerchantTail_Area | MerchantTail_[W] | ... | Yearly_Sum_Area_PathsBad | Yearly_Sum_Area_PathsGood | Yearly_Sum_Area_atEOL | Yearly_Sum_Power_EOLby_Degradation | Yearly_Sum_Power_EOLby_Failure | Yearly_Sum_Power_EOLby_ProjectLifetime | Yearly_Sum_Power_PathsBad | Yearly_Sum_Power_PathsGood | Yearly_Sum_Power_atEOL | irradiance_stc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 45 | 1.919579e+10 | 3.159814e+11 | 7.126563e+08 | 4.052359e+08 | 7.126563e+08 | 0.000000e+00 | 6.210900e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.117892e+09 | 0.000000e+00 | 1.117892e+09 | 0.000000e+00 | 1.910382e+11 | 0.000000e+00 | 1.910382e+11 | 0.000000e+00 | 1.910382e+11 | 1000.0 |
| 46 | 1.839231e+10 | 3.327319e+11 | 9.017454e+08 | 5.582086e+08 | 1.083581e+09 | 1.818361e+08 | 6.529300e+13 | 9.367313e+07 | 0.0 | 0.0 | ... | 1.366281e+09 | 1.818361e+08 | 1.641790e+09 | 0.000000e+00 | 2.341240e+11 | 3.920075e+10 | 2.341240e+11 | 2.587249e+10 | 2.733247e+11 | 1000.0 |
| 47 | 1.718386e+10 | 3.482103e+11 | 1.163992e+09 | 5.414907e+08 | 1.163992e+09 | 0.000000e+00 | 6.818200e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.705483e+09 | 0.000000e+00 | 1.705483e+09 | 0.000000e+00 | 2.915270e+11 | 0.000000e+00 | 2.915270e+11 | 0.000000e+00 | 2.915270e+11 | 1000.0 |
| 48 | 1.673850e+10 | 3.620407e+11 | 2.050194e+09 | 8.578825e+08 | 2.050194e+09 | 0.000000e+00 | 7.076300e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.908076e+09 | 0.000000e+00 | 2.908076e+09 | 1.458332e+11 | 3.443953e+11 | 0.000000e+00 | 4.902285e+11 | 0.000000e+00 | 3.443953e+11 | 1000.0 |
| 49 | 1.643873e+10 | 3.740234e+11 | 3.241735e+09 | 1.214258e+09 | 3.241735e+09 | 0.000000e+00 | 7.303300e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 4.455994e+09 | 0.000000e+00 | 4.455994e+09 | 3.342355e+11 | 3.915656e+11 | 0.000000e+00 | 7.258010e+11 | 0.000000e+00 | 3.915656e+11 | 1000.0 |
| 50 | 1.543129e+10 | 3.845971e+11 | 3.643228e+09 | 1.214409e+09 | 3.643228e+09 | 0.000000e+00 | 7.500000e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 4.857638e+09 | 0.000000e+00 | 4.857638e+09 | 3.530050e+11 | 4.469085e+11 | 0.000000e+00 | 7.999135e+11 | 0.000000e+00 | 4.469085e+11 | 1000.0 |
| 51 | 8.237147e+09 | 3.871090e+11 | 4.293946e+09 | 1.431315e+09 | 4.293946e+09 | 0.000000e+00 | 7.521932e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 5.725262e+09 | 0.000000e+00 | 5.725262e+09 | 4.419385e+11 | 5.059691e+11 | 0.000000e+00 | 9.479075e+11 | 0.000000e+00 | 5.059691e+11 | 1000.0 |
| 52 | 8.796825e+09 | 3.894686e+11 | 4.827875e+09 | 1.609292e+09 | 4.827875e+09 | 0.000000e+00 | 7.543864e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 6.437167e+09 | 0.000000e+00 | 6.437167e+09 | 4.928509e+11 | 5.762445e+11 | 0.000000e+00 | 1.069095e+12 | 0.000000e+00 | 5.762445e+11 | 1000.0 |
| 53 | 9.665895e+09 | 3.915857e+11 | 5.661587e+09 | 1.887196e+09 | 5.661587e+09 | 0.000000e+00 | 7.565796e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 7.548782e+09 | 0.000000e+00 | 7.548782e+09 | 6.096435e+11 | 6.487610e+11 | 0.000000e+00 | 1.258404e+12 | 0.000000e+00 | 6.487610e+11 | 1000.0 |
| 54 | 1.061756e+10 | 3.934441e+11 | 6.569420e+09 | 2.189807e+09 | 6.569420e+09 | 0.000000e+00 | 7.587728e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 8.759226e+09 | 0.000000e+00 | 8.759226e+09 | 7.440019e+11 | 7.218836e+11 | 0.000000e+00 | 1.465885e+12 | 0.000000e+00 | 7.218836e+11 | 1000.0 |
| 55 | 1.163658e+10 | 3.950340e+11 | 7.534958e+09 | 2.511653e+09 | 7.534958e+09 | 0.000000e+00 | 7.609660e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.004661e+10 | 0.000000e+00 | 1.004661e+10 | 8.943681e+11 | 7.938144e+11 | 0.000000e+00 | 1.688183e+12 | 0.000000e+00 | 7.938144e+11 | 1000.0 |
| 56 | 1.270160e+10 | 3.963540e+11 | 8.536207e+09 | 2.845402e+09 | 8.536207e+09 | 0.000000e+00 | 7.631592e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.138161e+10 | 0.000000e+00 | 1.138161e+10 | 1.057907e+12 | 8.626946e+11 | 0.000000e+00 | 1.920602e+12 | 0.000000e+00 | 8.626946e+11 | 1000.0 |
| 57 | 1.377595e+10 | 3.973774e+11 | 9.564445e+09 | 3.188148e+09 | 9.564445e+09 | 0.000000e+00 | 7.653524e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.275259e+10 | 0.000000e+00 | 1.275259e+10 | 1.228152e+12 | 9.269206e+11 | 0.000000e+00 | 2.155073e+12 | 0.000000e+00 | 9.269206e+11 | 1000.0 |
| 58 | 1.489572e+10 | 3.980954e+11 | 1.063328e+10 | 3.544427e+09 | 1.063328e+10 | 0.000000e+00 | 7.675456e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.417771e+10 | 0.000000e+00 | 1.417771e+10 | 1.415800e+12 | 9.837360e+11 | 0.000000e+00 | 2.399536e+12 | 0.000000e+00 | 9.837360e+11 | 1000.0 |
| 59 | 1.592860e+10 | 3.985432e+11 | 1.161060e+10 | 3.870198e+09 | 1.161060e+10 | 0.000000e+00 | 7.697388e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.548079e+10 | 0.000000e+00 | 1.548079e+10 | 1.592403e+12 | 1.032480e+12 | 0.000000e+00 | 2.624883e+12 | 0.000000e+00 | 1.032480e+12 | 1000.0 |
| 60 | 1.698028e+10 | 3.987202e+11 | 1.260247e+10 | 4.200822e+09 | 1.260247e+10 | 0.000000e+00 | 7.719320e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.680329e+10 | 0.000000e+00 | 1.680329e+10 | 1.784188e+12 | 1.070178e+12 | 0.000000e+00 | 2.854366e+12 | 0.000000e+00 | 1.070178e+12 | 1000.0 |
| 61 | 1.788307e+10 | 3.986796e+11 | 1.344276e+10 | 4.480919e+09 | 1.344276e+10 | 0.000000e+00 | 7.741252e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.792368e+10 | 0.000000e+00 | 1.792368e+10 | 1.954373e+12 | 1.096721e+12 | 0.000000e+00 | 3.051093e+12 | 0.000000e+00 | 1.096721e+12 | 1000.0 |
| 62 | 1.862628e+10 | 3.984760e+11 | 1.412244e+10 | 4.707480e+09 | 1.412244e+10 | 0.000000e+00 | 7.763184e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.882992e+10 | 0.000000e+00 | 1.882992e+10 | 2.100462e+12 | 1.112251e+12 | 0.000000e+00 | 3.212713e+12 | 0.000000e+00 | 1.112251e+12 | 1000.0 |
| 63 | 1.932282e+10 | 3.981268e+11 | 1.475397e+10 | 4.917990e+09 | 1.475397e+10 | 0.000000e+00 | 7.785116e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.967196e+10 | 0.000000e+00 | 1.967196e+10 | 2.249337e+12 | 1.114730e+12 | 0.000000e+00 | 3.364067e+12 | 0.000000e+00 | 1.114730e+12 | 1000.0 |
| 64 | 1.974485e+10 | 3.977191e+11 | 1.511444e+10 | 5.038146e+09 | 1.511444e+10 | 0.000000e+00 | 7.807048e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.015258e+10 | 0.000000e+00 | 2.015258e+10 | 2.348517e+12 | 1.106509e+12 | 0.000000e+00 | 3.455026e+12 | 0.000000e+00 | 1.106509e+12 | 1000.0 |
| 65 | 2.003983e+10 | 3.972920e+11 | 1.535023e+10 | 5.116743e+09 | 1.535023e+10 | 0.000000e+00 | 7.828980e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.046697e+10 | 0.000000e+00 | 2.046697e+10 | 2.430493e+12 | 1.087544e+12 | 0.000000e+00 | 3.518037e+12 | 0.000000e+00 | 1.087544e+12 | 1000.0 |
| 66 | 2.020074e+10 | 3.968855e+11 | 1.545536e+10 | 5.151786e+09 | 1.545536e+10 | 0.000000e+00 | 7.850912e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.060714e+10 | 0.000000e+00 | 2.060714e+10 | 2.493430e+12 | 1.058120e+12 | 0.000000e+00 | 3.551550e+12 | 0.000000e+00 | 1.058120e+12 | 1000.0 |
| 67 | 2.007218e+10 | 3.965842e+11 | 1.528016e+10 | 5.093387e+09 | 1.528016e+10 | 0.000000e+00 | 7.872844e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.037355e+10 | 0.000000e+00 | 2.037355e+10 | 2.499427e+12 | 1.021954e+12 | 0.000000e+00 | 3.521381e+12 | 0.000000e+00 | 1.021954e+12 | 1000.0 |
| 68 | 1.983153e+10 | 3.964179e+11 | 1.499834e+10 | 4.999446e+09 | 1.499834e+10 | 0.000000e+00 | 7.894776e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.999778e+10 | 0.000000e+00 | 1.999778e+10 | 2.486478e+12 | 9.800729e+11 | 0.000000e+00 | 3.466551e+12 | 0.000000e+00 | 9.800729e+11 | 1000.0 |
| 69 | 1.947993e+10 | 3.964157e+11 | 1.461164e+10 | 4.870546e+09 | 1.461164e+10 | 0.000000e+00 | 7.916708e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.948218e+10 | 0.000000e+00 | 1.948218e+10 | 2.453428e+12 | 9.338858e+11 | 0.000000e+00 | 3.387314e+12 | 0.000000e+00 | 9.338858e+11 | 1000.0 |
| 70 | 1.897518e+10 | 3.966172e+11 | 1.408023e+10 | 4.693411e+09 | 1.408023e+10 | 0.000000e+00 | 7.938640e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.877364e+10 | 0.000000e+00 | 1.877364e+10 | 2.388231e+12 | 8.861528e+11 | 0.000000e+00 | 3.274384e+12 | 0.000000e+00 | 8.861528e+11 | 1000.0 |
| 71 | 1.828052e+10 | 3.970709e+11 | 1.337013e+10 | 4.456710e+09 | 1.337013e+10 | 0.000000e+00 | 7.960572e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.782684e+10 | 0.000000e+00 | 1.782684e+10 | 2.278566e+12 | 8.411046e+11 | 0.000000e+00 | 3.119671e+12 | 0.000000e+00 | 8.411046e+11 | 1000.0 |
| 72 | 1.769350e+10 | 3.977427e+11 | 1.276625e+10 | 4.255416e+09 | 1.276625e+10 | 0.000000e+00 | 7.982504e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.702166e+10 | 0.000000e+00 | 1.702166e+10 | 2.190763e+12 | 7.978787e+11 | 0.000000e+00 | 2.988642e+12 | 0.000000e+00 | 7.978787e+11 | 1000.0 |
| 73 | 1.691542e+10 | 3.986796e+11 | 1.198391e+10 | 3.994638e+09 | 1.198391e+10 | 0.000000e+00 | 8.004436e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.597855e+10 | 0.000000e+00 | 1.597855e+10 | 2.053896e+12 | 7.616813e+11 | 0.000000e+00 | 2.815577e+12 | 0.000000e+00 | 7.616813e+11 | 1000.0 |
| 74 | 1.655335e+10 | 3.997677e+11 | 1.159892e+10 | 3.866307e+09 | 1.159892e+10 | 0.000000e+00 | 8.026368e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.546523e+10 | 0.000000e+00 | 1.546523e+10 | 2.007554e+12 | 7.264809e+11 | 0.000000e+00 | 2.734035e+12 | 0.000000e+00 | 7.264809e+11 | 1000.0 |
| 75 | 1.627302e+10 | 4.009846e+11 | 1.129210e+10 | 3.764034e+09 | 1.129210e+10 | 0.000000e+00 | 8.048300e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.505614e+10 | 0.000000e+00 | 1.505614e+10 | 1.978369e+12 | 6.921071e+11 | 0.000000e+00 | 2.670476e+12 | 0.000000e+00 | 6.921071e+11 | 1000.0 |
| 76 | 1.564649e+10 | 4.024167e+11 | 1.066080e+10 | 3.553601e+09 | 1.066080e+10 | 0.000000e+00 | 8.070232e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.421440e+10 | 0.000000e+00 | 1.421440e+10 | 1.863478e+12 | 6.672768e+11 | 0.000000e+00 | 2.530755e+12 | 0.000000e+00 | 6.672768e+11 | 1000.0 |
| 77 | 1.193598e+10 | 4.048054e+11 | 7.160429e+09 | 2.386810e+09 | 7.160429e+09 | 0.000000e+00 | 8.092164e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.547238e+09 | 0.000000e+00 | 9.547238e+09 | 9.947157e+11 | 7.178408e+11 | 0.000000e+00 | 1.712557e+12 | 0.000000e+00 | 7.178408e+11 | 1000.0 |
| 78 | 1.249537e+10 | 4.070754e+11 | 7.669073e+09 | 2.556358e+09 | 7.669073e+09 | 0.000000e+00 | 8.114096e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.022543e+10 | 0.000000e+00 | 1.022543e+10 | 1.062302e+12 | 7.714325e+11 | 0.000000e+00 | 1.833735e+12 | 0.000000e+00 | 7.714325e+11 | 1000.0 |
| 79 | 1.322395e+10 | 4.091831e+11 | 8.337144e+09 | 2.779048e+09 | 8.337144e+09 | 0.000000e+00 | 8.136028e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.111619e+10 | 0.000000e+00 | 1.111619e+10 | 1.167251e+12 | 8.248870e+11 | 0.000000e+00 | 1.992138e+12 | 0.000000e+00 | 8.248870e+11 | 1000.0 |
| 80 | 1.399165e+10 | 4.111178e+11 | 9.042696e+09 | 3.014232e+09 | 9.042696e+09 | 0.000000e+00 | 8.157960e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.205693e+10 | 0.000000e+00 | 1.205693e+10 | 1.282174e+12 | 8.769696e+11 | 0.000000e+00 | 2.159144e+12 | 0.000000e+00 | 8.769696e+11 | 1000.0 |
| 81 | 1.478425e+10 | 4.128720e+11 | 9.772592e+09 | 3.257531e+09 | 9.772592e+09 | 0.000000e+00 | 8.179892e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.303012e+10 | 0.000000e+00 | 1.303012e+10 | 1.405230e+12 | 9.264013e+11 | 0.000000e+00 | 2.331631e+12 | 0.000000e+00 | 9.264013e+11 | 1000.0 |
| 82 | 1.558437e+10 | 4.144422e+11 | 1.051065e+10 | 3.503548e+09 | 1.051065e+10 | 0.000000e+00 | 8.201824e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.401419e+10 | 0.000000e+00 | 1.401419e+10 | 1.533842e+12 | 9.719292e+11 | 0.000000e+00 | 2.505771e+12 | 0.000000e+00 | 9.719292e+11 | 1000.0 |
| 83 | 1.636708e+10 | 4.158311e+11 | 1.123358e+10 | 3.744528e+09 | 1.123358e+10 | 0.000000e+00 | 8.223756e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.497811e+10 | 0.000000e+00 | 1.497811e+10 | 1.663580e+12 | 1.012501e+12 | 0.000000e+00 | 2.676081e+12 | 0.000000e+00 | 1.012501e+12 | 1000.0 |
| 84 | 1.714512e+10 | 4.170383e+11 | 1.195345e+10 | 3.984483e+09 | 1.195345e+10 | 0.000000e+00 | 8.245688e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.593793e+10 | 0.000000e+00 | 1.593793e+10 | 1.798804e+12 | 1.046559e+12 | 0.000000e+00 | 2.845363e+12 | 0.000000e+00 | 1.046559e+12 | 1000.0 |
| 85 | 1.784422e+10 | 4.180818e+11 | 1.260055e+10 | 4.200184e+09 | 1.260055e+10 | 0.000000e+00 | 8.267620e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.680073e+10 | 0.000000e+00 | 1.680073e+10 | 1.923534e+12 | 1.073746e+12 | 0.000000e+00 | 2.997279e+12 | 0.000000e+00 | 1.073746e+12 | 1000.0 |
| 86 | 1.851577e+10 | 4.189667e+11 | 1.322311e+10 | 4.407704e+09 | 1.322311e+10 | 0.000000e+00 | 8.289552e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.763082e+10 | 0.000000e+00 | 1.763082e+10 | 2.050534e+12 | 1.092600e+12 | 0.000000e+00 | 3.143134e+12 | 0.000000e+00 | 1.092600e+12 | 1000.0 |
| 87 | 1.906847e+10 | 4.197214e+11 | 1.373533e+10 | 4.578445e+09 | 1.373533e+10 | 0.000000e+00 | 8.311484e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.831378e+10 | 0.000000e+00 | 1.831378e+10 | 2.159554e+12 | 1.103288e+12 | 0.000000e+00 | 3.262842e+12 | 0.000000e+00 | 1.103288e+12 | 1000.0 |
| 88 | 1.949808e+10 | 4.203754e+11 | 1.413310e+10 | 4.711033e+09 | 1.413310e+10 | 0.000000e+00 | 8.333416e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.884413e+10 | 0.000000e+00 | 1.884413e+10 | 2.249304e+12 | 1.106166e+12 | 0.000000e+00 | 3.355470e+12 | 0.000000e+00 | 1.106166e+12 | 1000.0 |
| 89 | 1.986347e+10 | 4.209435e+11 | 1.447152e+10 | 4.823839e+09 | 1.447152e+10 | 0.000000e+00 | 8.355348e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.929536e+10 | 0.000000e+00 | 1.929536e+10 | 2.333419e+12 | 1.100550e+12 | 0.000000e+00 | 3.433969e+12 | 0.000000e+00 | 1.100550e+12 | 1000.0 |
| 90 | 2.004728e+10 | 4.214705e+11 | 1.464017e+10 | 4.880058e+09 | 1.464017e+10 | 0.000000e+00 | 8.377280e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.952023e+10 | 0.000000e+00 | 1.952023e+10 | 2.384382e+12 | 1.088140e+12 | 0.000000e+00 | 3.472522e+12 | 0.000000e+00 | 1.088140e+12 | 1000.0 |
| 91 | 2.013257e+10 | 4.219807e+11 | 1.471680e+10 | 4.905599e+09 | 1.471680e+10 | 0.000000e+00 | 8.399212e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.962240e+10 | 0.000000e+00 | 1.962240e+10 | 2.420005e+12 | 1.069393e+12 | 0.000000e+00 | 3.489398e+12 | 0.000000e+00 | 1.069393e+12 | 1000.0 |
| 92 | 2.011865e+10 | 4.224987e+11 | 1.470049e+10 | 4.900165e+09 | 1.470049e+10 | 0.000000e+00 | 8.421144e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.960066e+10 | 0.000000e+00 | 1.960066e+10 | 2.439436e+12 | 1.045015e+12 | 0.000000e+00 | 3.484451e+12 | 0.000000e+00 | 1.045015e+12 | 1000.0 |
| 93 | 1.993160e+10 | 4.230683e+11 | 1.452154e+10 | 4.840513e+09 | 1.452154e+10 | 0.000000e+00 | 8.443076e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.936205e+10 | 0.000000e+00 | 1.936205e+10 | 2.423911e+12 | 1.017502e+12 | 0.000000e+00 | 3.441413e+12 | 0.000000e+00 | 1.017502e+12 | 1000.0 |
| 94 | 1.967346e+10 | 4.237077e+11 | 1.427549e+10 | 4.758496e+09 | 1.427549e+10 | 0.000000e+00 | 8.465008e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.903399e+10 | 0.000000e+00 | 1.903399e+10 | 2.394850e+12 | 9.878871e+11 | 0.000000e+00 | 3.382737e+12 | 0.000000e+00 | 9.878871e+11 | 1000.0 |
| 95 | 1.935050e+10 | 4.244343e+11 | 1.396795e+10 | 4.655984e+09 | 1.396795e+10 | 0.000000e+00 | 8.486940e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.862394e+10 | 0.000000e+00 | 1.862394e+10 | 2.352391e+12 | 9.574084e+11 | 0.000000e+00 | 3.309799e+12 | 0.000000e+00 | 9.574084e+11 | 1000.0 |
| 96 | 1.894817e+10 | 4.252691e+11 | 1.358502e+10 | 4.528340e+09 | 1.358502e+10 | 0.000000e+00 | 8.508872e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.811336e+10 | 0.000000e+00 | 1.811336e+10 | 2.291438e+12 | 9.279628e+11 | 0.000000e+00 | 3.219401e+12 | 0.000000e+00 | 9.279628e+11 | 1000.0 |
| 97 | 1.845782e+10 | 4.262358e+11 | 1.311836e+10 | 4.372788e+09 | 1.311836e+10 | 0.000000e+00 | 8.530804e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.749115e+10 | 0.000000e+00 | 1.749115e+10 | 2.207550e+12 | 9.020877e+11 | 0.000000e+00 | 3.109638e+12 | 0.000000e+00 | 9.020877e+11 | 1000.0 |
| 98 | 1.804182e+10 | 4.273172e+11 | 1.272030e+10 | 4.240101e+09 | 1.272030e+10 | 0.000000e+00 | 8.552736e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.696040e+10 | 0.000000e+00 | 1.696040e+10 | 2.136663e+12 | 8.795693e+11 | 0.000000e+00 | 3.016232e+12 | 0.000000e+00 | 8.795693e+11 | 1000.0 |
| 99 | 1.754926e+10 | 4.285344e+11 | 1.224903e+10 | 4.083009e+09 | 1.224903e+10 | 0.000000e+00 | 8.574668e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.633204e+10 | 0.000000e+00 | 1.633204e+10 | 2.042702e+12 | 8.632805e+11 | 0.000000e+00 | 2.905982e+12 | 0.000000e+00 | 8.632805e+11 | 1000.0 |
| 100 | 1.729950e+10 | 4.298281e+11 | 1.200437e+10 | 4.001458e+09 | 1.200437e+10 | 0.000000e+00 | 8.596600e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.600583e+10 | 0.000000e+00 | 1.600583e+10 | 1.998978e+12 | 8.501699e+11 | 0.000000e+00 | 2.849148e+12 | 0.000000e+00 | 8.501699e+11 | 1000.0 |
56 rows × 45 columns
fig_installs_cumu fig_vmat_cumu fig_wastes
# Figure of cumulative capacity and mass metrics
fig_mat_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Cumulative Installs-------------------------------------------------
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[0,0].set_ylim(0,410)
axs[0,0].set_ylabel('Total Deployed Capacity\n[TW]', fontsize=20)
axs[0,0].set_title('Business as Usual', fontsize=14)
axs[0,0].set_xticklabels([])
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].set_ylim(axs[0,0].get_ylim())
axs[0,1].bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=14)
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].set_ylim(axs[0,0].get_ylim())
axs[0,2].bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=14)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Virgin Material Demand-------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[1,0].set_ylim(0,12.5)
axs[1,0].set_ylabel('Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
#axs[1,0].set_title('Baseline', fontsize=14)
axs[1,0].set_xticklabels([])
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[1,1].set_title('Cumulative Virgin Material Demand', fontsize=24)
axs[1,1].set_xticklabels([])
axs[1,1].set_yticklabels([])
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
#Ambitious
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[1,2].set_title('Ambitious', fontsize=14)
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#Lifecycle Wastes-------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,9)
axs[2,0].set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
#axs[2,0].set_title('Baseline', fontsize=14)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_title('Cumulative Lifecycle Wastes', fontsize=24)
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_yticklabels([])
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[2,2].set_title('Ambitious', fontsize=14)
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#Overall Figure
fig_mat_cumu.suptitle('Cumulative Deployed Capacity', fontsize=24, y=0.92)
fig_mat_cumu.savefig('energyresults-Cumu-CapMass.png', dpi=300, bbox_inches='tight')
fig_mat_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\4105108743.py:102: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_mat_cumu.show()
Because of different bifi factors, they do NOT produce the same energy
plt.plot(energyGen/1e12) plt.legend(scennames_labels) plt.title('Annual Energy Generation') plt.ylabel('Energy Generation [TWh]') plt.ylim(0,)
Increasing the steepness of the curve
e_annual_sumDemands = energy_demands.filter(like='demand_total')
plt.plot(e_annual_sumDemands/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Energy Demands') plt.ylabel('Energy Demands\n[TWh]') plt.ylim(0,) plt.xlim(2000,2050)
#ember electricity demand
world_elec_demand = pd.read_csv(os.path.join(altBaselinesfolder, 'ember-world-electricity-demand.csv'), index_col='year')
world_elec_demand_ssps = pd.read_csv(os.path.join(supportMatfolder, 'input-Keiner2023-globalElecDemandSSP15.csv'), index_col='year')
#Haegel energy demand research
#added 4 2050 datapoints to above DF
elec_2050 = pd.DataFrame({2050:[58000],2050:[103400],2050:[105000],2050:[85300],})
elec_2050
| 2050 | |
|---|---|
| 0 | 85300 |
world_elec_demand_ssps.iloc[:,0:2] = world_elec_demand_ssps.iloc[:,0:2].interpolate()
world_elec_demand_ssps.head(5)
| TotalElectricityDemand_SSP1_[PWh] | TotalElectricityDemand_SSP5_[PWh] | Global_Electricity_Demand_Ember | |
|---|---|---|---|
| year | |||
| 2000 | NaN | NaN | 14.97179 |
| 2001 | NaN | NaN | 15.19635 |
| 2002 | NaN | NaN | 15.73318 |
| 2003 | NaN | NaN | 16.29211 |
| 2004 | NaN | NaN | 17.09314 |
#calculate percentage of world electricity demands
elec_mean_2050 = world_elec_demand.loc[2050,'Electricity_demand_twh'].mean()
idx_temp_edmd = pd.Series(range(2023,2051,1))
late_elec_demand = pd.DataFrame(columns=['Electricity_demand_twh'],index=idx_temp_edmd)
late_elec_demand.loc[2050] = elec_mean_2050
elec_demand_goal = pd.DataFrame(pd.concat([world_elec_demand.loc[:2022,'Electricity_demand_twh'],
late_elec_demand.loc[:,'Electricity_demand_twh']]),
dtype=float)
elec_demand = elec_demand_goal.interpolate()
e_annual_sumDemands_PWh = e_annual_sumDemands/1e15
#FIX THIS CALC
prct_elec_demand_2050_ssp1 = e_annual_sumDemands_PWh/world_elec_demand_ssps['TotalElectricityDemand_SSP1_[PWh]']*100
prct_elec_demand_2050_ssp1.loc[2050]
prct_elec_demand_2050_ssp5 = e_annual_sumDemands_PWh/world_elec_demand_ssps['TotalElectricityDemand_SSP5_[PWh]']*100
prct_elec_demand_2050_ssp5.loc[2050]
2000 NaN
2001 NaN
2002 NaN
2003 NaN
2004 NaN
..
PERC NaN
PV_ICE NaN
Recycled-Si + Long-life NaN
SHJ NaN
TOPCon NaN
Name: 2050, Length: 114, dtype: float64
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
prct_elec_demand_2050 = e_annual_sumDemands_TWh.loc[:2050]/elec_demand.values*100
prct_elec_demand_2050.loc[2050]
PV_ICE 2.088522 PERC 1.949265 SHJ 1.857052 TOPCon 1.896457 Low Quality 3.028774 Long-Lived 1.956432 High Eff 2.083323 Circular 3.413768 High Eff + Long-life 1.986317 Long-Life + Recycling 1.995781 Recycled-Si + Long-life 3.455743 Circular + Long-life 3.154354 Circular + High Eff 2.268047 Name: 2050, dtype: float64
sim1.scenario['r_IRENA'].material['glass'].matdataOut_e
| mat_extraction | mat_MFG_virgin | mat_MFG_virgin_fuel | mat_MFGScrap_LQ | mat_MFGScrap_HQ | mat_MFGScrap_HQ_fuel | mat_Landfill | mat_Landfill_fuel | mat_EoL_ReMFG_clean | mat_Recycled_LQ | mat_Recycled_HQ | mat_Recycled_HQ_fuel | mat_Recycled_HQ_elec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.347604e+08 | 2.294971e+11 | 1.836114e+11 | 4.001527e+09 | 4.001527e+08 | 2.000763e+08 | 1.929307e+08 | 1.504860e+08 | 0.0 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |
| 1 | 1.894837e+08 | 8.035842e+10 | 6.428545e+10 | 1.417876e+09 | 1.417876e+08 | 7.089380e+07 | 6.836193e+07 | 5.332230e+07 | 0.0 | 4.176129e+01 | 2.505677e+00 | 1.252839e+00 | 1.252839e+00 |
| 2 | 2.278207e+08 | 9.521559e+10 | 7.636298e+10 | 1.704746e+09 | 1.704746e+08 | 8.523728e+07 | 8.219508e+07 | 6.411216e+07 | 0.0 | 1.707163e+03 | 1.024298e+02 | 5.121490e+01 | 5.121490e+01 |
| 3 | 3.453459e+08 | 1.422102e+11 | 1.143511e+11 | 2.584168e+09 | 2.584168e+08 | 1.292084e+08 | 1.246104e+08 | 9.719611e+07 | 0.0 | 1.421993e+04 | 8.531957e+02 | 4.265979e+02 | 4.265979e+02 |
| 4 | 7.000218e+08 | 2.839568e+11 | 2.289496e+11 | 5.238152e+09 | 5.238152e+08 | 2.619076e+08 | 2.526262e+08 | 1.970485e+08 | 0.0 | 6.223970e+04 | 3.734382e+03 | 1.867191e+03 | 1.867191e+03 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 96 | 1.090814e+12 | 3.708123e+14 | 3.218605e+14 | 8.249846e+12 | 5.568646e+12 | 2.784323e+12 | 5.974497e+12 | 4.660108e+12 | 0.0 | 1.829395e+14 | 1.234842e+14 | 6.174208e+13 | 6.174208e+13 |
| 97 | 1.070307e+12 | 3.638413e+14 | 3.158097e+14 | 8.036353e+12 | 5.424538e+12 | 2.712269e+12 | 5.769718e+12 | 4.500380e+12 | 0.0 | 1.766554e+14 | 1.192424e+14 | 5.962119e+13 | 5.962119e+13 |
| 98 | 1.053055e+12 | 3.579766e+14 | 3.107192e+14 | 7.855231e+12 | 5.302281e+12 | 2.651140e+12 | 5.595045e+12 | 4.364135e+12 | 0.0 | 1.712950e+14 | 1.156241e+14 | 5.781205e+13 | 5.781205e+13 |
| 99 | 1.032624e+12 | 3.510314e+14 | 3.046908e+14 | 7.640774e+12 | 5.157522e+12 | 2.578761e+12 | 5.388246e+12 | 4.202832e+12 | 0.0 | 1.649486e+14 | 1.113403e+14 | 5.567017e+13 | 5.567017e+13 |
| 100 | 1.022646e+12 | 3.476393e+14 | 3.017466e+14 | 7.532030e+12 | 5.084120e+12 | 2.542060e+12 | 5.280907e+12 | 4.119108e+12 | 0.0 | 1.616541e+14 | 1.091165e+14 | 5.455825e+13 | 5.455825e+13 |
101 rows × 13 columns
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
fig, ax1 = plt.subplots()
#world electricity demand
#ax1.plot(world_elec_demand.iloc[0:2022,0], label='Global Electricity Demand', ls='dashdot')
#BAU
ax1.plot(e_annual_sumDemands_TWh.iloc[:,0:5])
#Extreme
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5:8])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
ax1.plot(e_annual_sumDemands_TWh.iloc[:,8:], ls='--')
ax1.legend(scennames_labels_flat)
plt.title('Annual Energy Demands')
plt.ylabel('Energy Demands\n[TWh]')
plt.ylim(0,)
plt.xlim(2000,2050)
plt.show()
e_annual_demands_TWh = e_annual_sumDemands/1e12
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#ax1.plot(world_elec_demand.iloc[:2022,0], label='Global Electricity Demand', ls='dashdot')
#ax1.scatter(x=2050, y=elec_2050.T, label='Global Electricity Demand')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(prct_elec_demand_2050.iloc[:2050,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Percent of Global Annual\nElectricity Demand [%]', fontsize=20)
ax1.set_xlim(2000,2050)
ax1.set_ylim(0,10)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
#Extreme
#ax2.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(prct_elec_demand_2050.iloc[:2050,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
#ax3.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(prct_elec_demand_2050.iloc[:2050,8:], label=scennames_labels_flat[8:], ls='--')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
#overall figure
fig.suptitle('Annual Energy Demand as Percent of\nProjected Global Electricity Demand through 2050', fontsize=24, y=1.1)
plt.show()
fig.savefig('energyresults-annualEnergyDemands2050.png', dpi=300, bbox_inches='tight')
e_annual_sumDemands_cumu = e_annual_sumDemands.cumsum()
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulative Lifecycle Energy Demands') plt.ylabel('Cumulative Energy Demands\n[TWh]') plt.xticks(rotation=90)
cumu_e_demands_twh = e_annual_sumDemands_cumu.loc[2100]/1e12
cumu_e_demands_twh.index = scennames_labels_flat
fig_eDemands, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,200000)
ax0.set_ylabel('Cumulative Energy Demands [TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eDemands.suptitle('Cumulative Lifecycle Energy Demands', fontsize=24)
plt.show()
fig_eDemands.savefig('energyresults-energyDemands.png', dpi=300, bbox_inches='tight')
#select material demands that are not fuel
e_fuels = energy_demands.filter(like='_fuel')
e_energydemands = energy_demands.loc[:,~energy_demands.columns.isin(e_fuels.columns)]
#sum energy demands by material
e_mfging_bymat = pd.DataFrame()
for scen in sim1.scenario.keys():
e_energy_mfg_scen = e_energydemands.filter(like=scen).filter(like='_MFG_')
e_energy_mod_mfg_scen = energy_demands.filter(like=scen).filter(like='mod_MFG')
e_mfging_bymat = pd.concat([e_mfging_bymat,e_energy_mfg_scen,e_energy_mod_mfg_scen], axis=1)
cum_e_mfging_bymat = e_mfging_bymat.cumsum().loc[2100]
cum_e_mfging_bymat
PV_ICE_glass_mat_MFG_virgin 2.867549e+16
PV_ICE_silicon_mat_MFG_virgin 6.339085e+16
PV_ICE_silver_mat_MFG_virgin 4.766396e+14
PV_ICE_aluminium_frames_mat_MFG_virgin 2.018049e+16
PV_ICE_copper_mat_MFG_virgin 8.744991e+13
...
h_Perovskite_Eff_aluminium_frames_mat_MFG_virgin 1.011791e+16
h_Perovskite_Eff_copper_mat_MFG_virgin 1.743509e+14
h_Perovskite_Eff_encapsulant_mat_MFG_virgin 4.460724e+15
h_Perovskite_Eff_backsheet_mat_MFG_virgin 2.728711e+13
h_Perovskite_Eff_mod_MFG 5.301244e+15
Name: 2100, Length: 104, dtype: float64
#run 2x rn??
#energy demands by material mfging
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100],
tick_label=(scennames_labels), color=colorpalette)
#Materials
cume_mfg_glass = cum_e_mfging_bymat.filter(like='glass')
cume_mfg_silicon = cum_e_mfging_bymat.filter(like='silicon')
cume_mfg_silver = cum_e_mfging_bymat.filter(like='silver')
cume_mfg_aluminium_frames = cum_e_mfging_bymat.filter(like='aluminium_frames')
cume_mfg_copper = cum_e_mfging_bymat.filter(like='copper')
cume_mfg_encapsulant = cum_e_mfging_bymat.filter(like='encapsulant')
cume_mfg_backsheet = cum_e_mfging_bymat.filter(like='backsheet')
cume_mfg_mod = cum_e_mfging_bymat.filter(like='mod')
bot_ag = cume_mfg_glass.values+cume_mfg_silicon.values
bot_al = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values
bot_cu = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values
bot_encap = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values
bot_back = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values
bot_mod = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values+cume_mfg_backsheet.values
plt.bar(scennames_labels, cume_mfg_glass, color = colormats[0], hatch='.')
plt.bar(scennames_labels, cume_mfg_silicon, bottom = cume_mfg_glass, color=colormats[1], hatch='.')
plt.bar(scennames_labels, cume_mfg_silver, bottom = bot_ag, color=colormats[2], hatch='.')
plt.bar(scennames_labels, cume_mfg_aluminium_frames, bottom = bot_al, color=colormats[3], hatch='.')
plt.bar(scennames_labels, cume_mfg_copper, bottom = bot_cu , color=colormats[4], hatch='.')
plt.bar(scennames_labels, cume_mfg_encapsulant, bottom = bot_encap ,color=colormats[5], hatch='.')
plt.bar(scennames_labels, cume_mfg_backsheet, bottom = bot_back, color=colormats[6], hatch='.')
plt.bar(scennames_labels, cume_mfg_mod, bottom = bot_back, color='white', hatch='.')
plt.xticks(rotation=90)
plt.legend(MATERIALS)
<matplotlib.legend.Legend at 0x28965f5e090>
energyGen_cumu = energyGen.cumsum()
energyGen_cumu.columns = e_annual_sumDemands_cumu.columns = scennames_labels_flat
netEnergy_cumu = energyGen_cumu.loc[[2100]] - e_annual_sumDemands_cumu.loc[[2100]]
e_annual_sumDemands_cumu.loc[[2100]]
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.460291e+17 | 1.324519e+17 | 1.261802e+17 | 1.288428e+17 | 2.165381e+17 | 1.128773e+17 | 1.514424e+17 | 1.599215e+17 | 1.116246e+17 | 1.198981e+17 | 1.727436e+17 | 1.512721e+17 | 1.418496e+17 |
netEnergy_cumu
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 7.239181e+18 | 7.769722e+18 | 7.923698e+18 | 7.847184e+18 | 7.168672e+18 | 7.530815e+18 | 7.913207e+18 | 7.225288e+18 | 7.953024e+18 | 7.523794e+18 | 7.212466e+18 | 7.233938e+18 | 7.243360e+18 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively') plt.ylabel('Cumulative Net Energy [TWh]')
plt.xticks(rotation=90)
cumu_netEnergy_twh = netEnergy_cumu.loc[2100]/1e15
fig, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_netEnergy_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,8000)
ax0.set_ylabel('Cumulative Net Energy\n[thousand TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_netEnergy_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_netEnergy_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
#overall fig
fig.suptitle('Net Energy Cumulatively', fontsize=24)
plt.show()
fig.savefig('energyresults-cumuNetEnergy.png', dpi=300, bbox_inches='tight')
netEnergy_relative = netEnergy_cumu - netEnergy_cumu.loc[2100,'PV_ICE'] netEnergy_relative plt.bar(netEnergy_relative.columns, netEnergy_relative.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulatively Net Energy Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy [TWh]') plt.xticks(rotation=90)
netEnergy_cumu_norm = netEnergy_cumu/netEnergy_cumu.loc[2100,'PV_ICE']
netEnergy_cumu_norm_waterfall = netEnergy_cumu_norm-1
netEnergy_cumu_norm
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.0 | 1.073288 | 1.094557 | 1.083988 | 0.99026 | 1.040286 | 1.093108 | 0.998081 | 1.098608 | 1.039316 | 0.99631 | 0.999276 | 1.000577 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu_norm_waterfall.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy')
plt.plot(0.0, lw=2) plt.xticks(rotation=90)
netEnergy_cumu_norm_waterfall
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 0.0 | 0.073288 | 0.094557 | 0.083988 | -0.00974 | 0.040286 | 0.093108 | -0.001919 | 0.098608 | 0.039316 | -0.00369 | -0.000724 | 0.000577 |
fig_eNetE, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
#ax0.set_ylim(0,410)
ax0.set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.axhline(0, lw=1, color='black')
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.axhline(0, lw=1, color='black')
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
ax3.axhline(0, lw=1, color='black')
fig_eNetE.suptitle('Normalized Net Energy', fontsize=24)
plt.show()
fig_eNetE.savefig('energyresults-cumuNetEnergyNorm.png', dpi=300, bbox_inches='tight')
netenergy_final = netEnergy_cumu.loc[2100]/1e12
energyGen.columns = e_annual_sumDemands.columns = scennames_labels_flat
annual_net_energy = energyGen - e_annual_sumDemands
plt.plot(annual_net_energy/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Net Energy') plt.ylabel('Net Energy (Eout - Ein)\n[TWh]') plt.ylim(0,) plt.xlim(2000,2100)
Inspired by EROI, this is all the energy generation divided by all the energy demanded for all systems deployed in energy transition. This is giving us an idea of our energy bang for energy buck
energyBalance_allyears = energyGen_cumu/e_annual_sumDemands_cumu
plt.bar(energyBalance_allyears.columns, energyBalance_allyears.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Energy Balance') plt.ylabel('Unitless') plt.xticks(rotation=90)
energyBalance = energyBalance_allyears.loc[2100]
fig_eBalance, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,75)
ax0.set_ylabel('Energy Balance [Unitless]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eBalance.suptitle('Energy Balance', fontsize=24)
plt.show()
fig_eBalance.savefig('energyresults-energyBalance.png', dpi=300, bbox_inches='tight')
fig_eDemands fig_eNetE fig_eBalance
#cumulative energy figure
fig_e_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Energy Demands
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5]/1e3,# width=0.1,
color=colorpalette[0:5])
axs[0,0].set_ylim(0,200)
axs[0,0].set_ylabel('Cumulative Energy Demands\n[thousand TWh]', fontsize=20)
axs[0,0].set_title('Business As Usual', fontsize=20)
axs[0,0].set_xticklabels([])
#axs[0,0].yaxis.set_minor_locator(MultipleLocator(0.05))
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8]/1e3, #width=0.8,
color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=20)
axs[0,1].set_ylim(axs[0,0].get_ylim())#, visible=False)#sharey(axs[0, 0])
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])#yaxis.set_visible(False)
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:]/1e3, #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=20)
axs[0,2].set_ylim(axs[0,0].get_ylim())#, visible=False)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])#yaxis.set_visible(False)
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Net Energy------------------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
color=colorpalette[0:5])
axs[1,0].set_ylim(-0.025,0.1)
axs[1,0].set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
axs[1,0].set_xticklabels([])
axs[1,0].axhline(0, lw=1, color='black')
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
color=colorpalette[5:8])
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].set_xticklabels([])
axs[1,1].axhline(0, lw=1, color='black')
axs[1,1].set_yticklabels([])#yaxis.set_visible(False)
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
axs[1,1].set_title('Cumulative Net Energy', fontsize=24)
#Ambitious
axs[1,2].bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])#yaxis.set_visible(False)
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#overall fig
axs[1,2].axhline(0, lw=1, color='black')
#Energy Balance------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,75)
axs[2,0].set_ylabel('Energy Balance\n[Unitless]', fontsize=20)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_title('Energy Balance', fontsize=24)
axs[2,1].set_yticklabels([])#yaxis.set_visible(False)
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#overall fig
fig_e_cumu.suptitle('Cumulative Energy Demands', fontsize=24, y=0.92)
fig_e_cumu.savefig('energyresults-AllEnergyMetrics.png', dpi=300, bbox_inches='tight')
fig_e_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\866380601.py:104: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_e_cumu.show()
discussTable = pd.concat([total_deploy,virgin,wastes, cumu_e_demands_twh,netenergy_final,energyBalance], axis=1,
keys=['replacements','virgin','wastes','energydemand','netenergy','energybalance'])
discussTable.to_csv(os.path.join(testfolder,'discussiontable.csv'))
discussTable
| replacements | virgin | wastes | energydemand | netenergy | energybalance | |
|---|---|---|---|---|---|---|
| PV_ICE | 192.782629 | 10.220009 | 5.250021 | 146029.069507 | 7.239181e+06 | 50.573558 |
| PERC | 189.736818 | 8.308853 | 2.146168 | 132451.896034 | 7.769722e+06 | 59.660711 |
| SHJ | 189.736818 | 7.900789 | 2.041488 | 126180.247059 | 7.923698e+06 | 63.796661 |
| TOPCon | 189.736818 | 8.069119 | 2.084740 | 128842.768265 | 7.847184e+06 | 61.905115 |
| Low Quality | 270.465266 | 11.210109 | 4.320335 | 216538.128060 | 7.168672e+06 | 34.105816 |
| Long-Lived | 152.889112 | 9.211919 | 3.792141 | 112877.343265 | 7.530815e+06 | 67.716796 |
| High Eff | 265.199894 | 12.357991 | 8.184520 | 151442.393660 | 7.913207e+06 | 53.252255 |
| Circular | 411.679143 | 9.351692 | 1.254093 | 159921.463618 | 7.225288e+06 | 46.180228 |
| High Eff + Long-life | 191.999555 | 9.101270 | 4.813193 | 111624.622696 | 7.953024e+06 | 72.247939 |
| Long-Life + Recycling | 160.004260 | 9.208011 | 3.267769 | 119898.119848 | 7.523794e+06 | 63.751558 |
| Recycled-Si + Long-life | 237.084336 | 8.403831 | 1.454416 | 172743.571716 | 7.212466e+06 | 42.752443 |
| Circular + Long-life | 275.723275 | 8.979026 | 1.572487 | 151272.148080 | 7.233938e+06 | 48.820683 |
| Circular + High Eff | 411.679143 | 7.296672 | 2.025461 | 141849.571999 | 7.243360e+06 | 52.063672 |